LLM calls

sportstatsdb.com pipelines
time
2026-09-30 23:35:45
pipeline
isu_pipeline
run
pilot_20260930_2331
step
people_llm
object
Вероника Александровна АНИСЕНКО
model_requested
anthropic/claude-sonnet-5.5
model_returned
anthropic/claude-sonnet-5.5
provider
Claude Platform on AWS
latency_s
5.08
prompt_tokens
1632
completion_tokens
499
cost_usd
0.008254
finish_reason
stop
json_error
False
review_verdict
review_note
call_id
c1b9b511-a09e-4300-8e51-db811bb3bbff

Answer

{
  "why": "The current card 9723961 matches the printed name exactly, including the patronymic Александровна, and its only result is this row, so nothing conflicts with it. Alternative 9663164 is Денисенко, a different surname, and its last start was in 2011 at the 1st sport level with a score of 75.88, so it is not this person. Alternative 9633359 is Вероника Анисенко, who skated a beginner category (Юный фигурист, гр. 7) in February 2025 and scored 8.76. That is plausibly the same girl moving up to the 3rd youth step in November 2025 with 11.19, and the scores are similar. But the card has no patronymic, club or birth date, so this is not confirmed. The current card already carries the full name with patronymic and the Moscow academy club, and no evidence contradicts it. Keeping it is the safer choice, but the two Анисенко cards may be the same person and should be checked.",
  "card": null,
  "slot": null,
  "decision": "keep",
  "followups": [
    {
      "card": 9633359,
      "issue": "Possibly the same person as card 9723961 (Вероника Александровна Анисенко). The 2025-02 beginner result at 8.76 is followed by a 3rd youth result in 2025-11 at 11.19, which is a plausible progression. The card has no club, patronymic or birth date.",
      "suggestion": "Check the Diamond Ice Festival protocol for the club and patronymic. If they match the Московская академия фигурного катания, merge the two cards."
    }
  ],
  "confidence": "medium"
}

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'. Put anything that should be corrected or checked later (a wrong birth date, two cards that look like one person, a suspicious career) into `followups`; you do not apply them.

Dossier

{
  "row": {
    "printed": "Вероника Александровна АНИСЕНКО",
    "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": 21,
    "total": "11.19",
    "segments": {
      "FS": "11.19"
    },
    "birth_years_printed": [],
    "category_years": []
  },
  "people_on_row": [
    {
      "current_card": {
        "card": 9723961,
        "name": "Вероника Александровна АНИСЕНКО",
        "latin": "Veronika Aleksandrovna ANISENKO",
        "gender": "women",
        "birth_date": null,
        "results_total": 1,
        "last_starts": [],
        "spellings": [
          "Вероника Александровна АНИСЕНКО"
        ],
        "birth_years_printed": {},
        "clubs_printed": [
          "ГБУ ДО Московская академия фигурного катания на"
        ]
      },
      "alternatives": [
        {
          "card": 9663164,
          "name": "Вероника ДЕНИСЕНКО",
          "latin": "Veronika DENISENKO",
          "gender": "women",
          "birth_date": null,
          "results_total": 1,
          "last_starts": [
            {
              "date": "2011-11-20",
              "event": "Pervouralsk Junior Championships",
              "level": "national_other",
              "category": "1-й спортивный, девушки (1sf)",
              "discipline": "singles",
              "age_group": "novice",
              "step": "rus_1sport",
              "club": null,
              "flag": "RUS",
              "place": 19,
              "total": "75.88",
              "partner": null
            }
          ],
          "spellings": [
            "Вероника ДЕНИСЕНКО"
          ],
          "birth_years_printed": {},
          "clubs_printed": []
        },
        {
          "card": 9633359,
          "name": "Вероника АНИСЕНКО",
          "latin": "Veronika Anisenko",
          "gender": "women",
          "birth_date": null,
          "results_total": 1,
          "last_starts": [
            {
              "date": "2025-02-18",
              "event": "Diamond Ice Festival",
              "level": "national_other",
              "category": "Юный фигуриcт, гр. 7, Девочки",
              "discipline": "singles",
              "age_group": "novice",
              "step": "rus_beginner",
              "club": null,
              "flag": "RUS",
              "place": 3,
              "total": "8.76",
              "partner": null
            }
          ],
          "spellings": [
            "Вероника АНИСЕНКО"
          ],
          "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": "...", "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.

Usage

{
  "cost": 0.008254,
  "is_byok": false,
  "cost_details": {
    "upstream_inference_cost": 0.008254,
    "upstream_inference_prompt_cost": 0.003264,
    "upstream_inference_completions_cost": 0.00499
  },
  "total_tokens": 2131,
  "prompt_tokens": 1632,
  "completion_tokens": 499,
  "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
  }
}