LLM calls

sportstatsdb.com pipelines
time
2026-09-30 23:42:55
pipeline
isu_pipeline
run
pilot_20260930_2338
step
people_llm
object
Кристина Олеговна МИХЕЕВА
model_requested
anthropic/claude-haiku-4.5
model_returned
anthropic/claude-haiku-4.5
provider
Amazon Bedrock
latency_s
5.7
prompt_tokens
1635
completion_tokens
360
cost_usd
0.003435
finish_reason
stop
json_error
False
review_verdict
review_note
call_id
be7b9986-7b4b-40cb-adbf-f1c47aee6702

Answer

{
  "why": "The current card 9723960 matches the row on multiple criteria: (1) Full name match including patronymic 'Олеговна' - the row prints 'Кристина Олеговна МИХЕЕВА' and the card has this exact spelling; (2) Category and discipline match perfectly - both are '3 Юношеский разряд, Девочки, Девушки' singles novice; (3) Club continuity - the row shows 'ГБУ ДО Московская академия фигурного катания на' which matches the club in the current card's history; (4) Recent activity - the current card has a result from 2025-11-17 (5 days before this event on 2025-11-22), showing active participation in the same category and level; (5) Score progression - the row score of 13.71 is slightly higher than the previous 12.02, which is reasonable progression. The alternative card 9622769 lacks the patronymic 'Олеговна' and shows results only at the beginner level (rus_beginner) from earlier dates (last in May 2025), not the 3rd youth level (rus_3youth) of the current row. These are likely different people despite the shared first and last name.",
  "card": null,
  "slot": null,
  "decision": "keep",
  "followups": [],
  "confidence": "high",
  "same_person": []
}

Task

A result row was linked to athlete card(s) by the loader, but the linkage is uncertain: several cards share the name, or the printed name matched a card only after dropping the patronymic / reordering words / transliterating. For each person on the row decide which card it is. Options: 'keep' (the current card is right), 'card' (replace the person in slot `slot` with card `card` from `alternatives`), 'new' (the person in slot `slot` is someone who has no card yet). Evidence to weigh: birth date vs the category and age step, club and region continuity, discipline and partner, score level and its progression over time, dates (one person cannot skate two events at the same time), how the name is written (a patronymic in one protocol and not in another is normal in Russian protocols; a different patronymic means a different person). Namesakes are common among children. You MUST decide; if in doubt pick the most likely option and set confidence 'low'. If several cards in the dossier (current or alternatives) look like one and the same person split across cards, list each such group in `same_person` with the card ids and your confidence; nothing is merged here, a separate review reads these groups. Put anything else that should be corrected or checked later (a wrong birth date, a suspicious career) into `followups`; you do not apply them.

Dossier

{
  "row": {
    "printed": "Кристина Олеговна МИХЕЕВА",
    "event": "Фестиваль Осенняя Столица, Москва, 2025-11-22",
    "category": "3 Юношеский разряд, Девочки, Девушки",
    "discipline": "singles",
    "age_group": "novice",
    "step": "rus_3youth",
    "flag": "RUS",
    "club_or_region_printed": "ГБУ ДО Московская академия фигурного катания на",
    "place": 15,
    "total": "13.71",
    "segments": {
      "FS": "13.71"
    },
    "birth_years_printed": [],
    "category_years": []
  },
  "people_on_row": [
    {
      "current_card": {
        "card": 9723960,
        "name": "Кристина Олеговна МИХЕЕВА",
        "latin": "Kristina Olegovna MIKHEEVA",
        "gender": "women",
        "birth_date": null,
        "results_total": 2,
        "last_starts": [
          {
            "date": "2025-11-17",
            "event": "Unity Day Trophy",
            "level": "national_other",
            "category": "3 Юношеский разряд, Девочки, Девушки",
            "discipline": "singles",
            "age_group": "novice",
            "step": "rus_3youth",
            "club": "ГБУ ДО Московская академия фигурного",
            "flag": "RUS",
            "place": 30,
            "total": "12.02",
            "partner": null
          }
        ],
        "spellings": [
          "Кристина Олеговна МИХЕЕВА"
        ],
        "birth_years_printed": {},
        "clubs_printed": [
          "ГБУ ДО Московская академия фигурного катания на",
          "ГБУ ДО Московская академия фигурного"
        ]
      },
      "alternatives": [
        {
          "card": 9622769,
          "name": "Кристина МИХЕЕВА",
          "latin": "Kristina Mikheeva",
          "gender": "women",
          "birth_date": null,
          "results_total": 3,
          "last_starts": [
            {
              "date": "2025-05-31",
              "event": "Ice Extravaganza",
              "level": "national_other",
              "category": "Юный Фигурист, Россия, Группа 3",
              "discipline": "singles",
              "age_group": "novice",
              "step": "rus_beginner",
              "club": null,
              "flag": "RUS",
              "place": 2,
              "total": "14.08",
              "partner": null
            },
            {
              "date": "2024-12-24",
              "event": "Winter Tale Festival",
              "level": "national_other",
              "category": "ЮНЫЙ ФИГУРИСТ, РОССИЯ, ГРУППА 2",
              "discipline": "singles",
              "age_group": "novice",
              "step": "rus_beginner",
              "club": null,
              "flag": "RUS",
              "place": 2,
              "total": "9.51",
              "partner": null
            },
            {
              "date": "2024-12-16",
              "event": "New Year Miracle",
              "level": "national_other",
              "category": "Юный Фигурист, Россия, группа 6",
              "discipline": "singles",
              "age_group": "novice",
              "step": "rus_beginner",
              "club": null,
              "flag": "RUS",
              "place": 1,
              "total": "11.17",
              "partner": null
            }
          ],
          "spellings": [
            "Кристина МИХЕЕВА"
          ],
          "birth_years_printed": {},
          "clubs_printed": []
        }
      ]
    }
  ]
}

System

You help maintain a figure skating results database. Decide strictly from the dossier. Choose only among the options given. If the evidence is insufficient, answer 'unsure'. Reply with a single JSON object: {"decision": "keep"|"card"|"new", "slot": <card id being replaced or null>, "card": <card id or null>, "confidence": "high"|"medium"|"low", "why": "...", "same_person": [{"cards": [<id>, <id>, ...], "confidence": "high"|"medium"|"low", "why": "..."}], "followups": [{"card": <id>, "issue": "...", "suggestion": "..."}]} Output only the JSON object: no text before or after it, no Markdown, no code fences. Put all your reasoning into the "why" field.

Raw model text

```json
{
  "decision": "keep",
  "slot": null,
  "card": null,
  "confidence": "high",
  "why": "The current card 9723960 matches the row on multiple criteria: (1) Full name match including patronymic 'Олеговна' - the row prints 'Кристина Олеговна МИХЕЕВА' and the card has this exact spelling; (2) Category and discipline match perfectly - both are '3 Юношеский разряд, Девочки, Девушки' singles novice; (3) Club continuity - the row shows 'ГБУ ДО Московская академия фигурного катания на' which matches the club in the current card's history; (4) Recent activity - the current card has a result from 2025-11-17 (5 days before this event on 2025-11-22), showing active participation in the same category and level; (5) Score progression - the row score of 13.71 is slightly higher than the previous 12.02, which is reasonable progression. The alternative card 9622769 lacks the patronymic 'Олеговна' and shows results only at the beginner level (rus_beginner) from earlier dates (last in May 2025), not the 3rd youth level (rus_3youth) of the current row. These are likely different people despite the shared first and last name.",
  "same_person": [],
  "followups": []
}
```

Usage

{
  "cost": 0.003435,
  "is_byok": false,
  "cost_details": {
    "upstream_inference_cost": 0.003435,
    "upstream_inference_prompt_cost": 0.001635,
    "upstream_inference_completions_cost": 0.0018
  },
  "total_tokens": 1995,
  "prompt_tokens": 1635,
  "completion_tokens": 360,
  "prompt_tokens_details": {
    "audio_tokens": 0,
    "video_tokens": 0,
    "cached_tokens": 0,
    "cache_write_tokens": 0
  },
  "completion_tokens_details": {
    "audio_tokens": 0,
    "image_tokens": 0,
    "reasoning_tokens": 0
  }
}