LLM calls

sportstatsdb.com pipelines
time
2026-09-30 16:22:48
pipeline
isu_pipeline
run
gpjpn2026
step
6 entries people
object
2136461 Sarah EVERHARDT
model_requested
anthropic/claude-sonnet-5.5
model_returned
anthropic/claude-sonnet-5.5
provider
Claude Platform on AWS
latency_s
3.91
prompt_tokens
1801
completion_tokens
346
cost_usd
0.007062
finish_reason
stop
json_error
False
review_verdict
review_note
call_id
0a9413b6-5041-4bc5-9fdb-3364cc200c9b

Answer

{
  "why": "Card 8852555 matches the entry: same name, USA flag, Women singles, senior level, and a recent run of senior international results (Worlds 2026, Four Continents 2026, NHK Trophy 2025). The birth date 2006-11-12 matches the ISU profile for Sarah EVERHARDT (USA). Card 9650601 has no birth date and only two 2020 novice results at a US club event (Hershey Open). It is probably the same skater as an earlier record, since a 2006 birth makes her about 13-14 in 2020, which fits novice. It is not the right card for a senior GP entry, though, because the main card has the current results.",
  "cards": [
    8852555
  ],
  "followups": [
    {
      "card": 9650601,
      "issue": "Possible duplicate of card 8852555: same name, USA, women singles, 2020 novice results at Hershey Open, no birth date.",
      "suggestion": "Check whether these 2020 Hershey Open results belong to the same skater and, if so, merge them into card 8852555."
    }
  ],
  "confidence": "high"
}

Task

This is an entry (registration) for an upcoming competition, before any results. Link each person on the entry to one of their candidate cards (same or similar name), or to null if none of the listed candidates fits. Nothing is created here: an entry may stay without a card, and the person is settled when the results arrive with more evidence (ISU number, scores). Compare flag, discipline, age group, level, recent seasons and birth date with the entry. 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 possible duplicate card, a wrong birth date) into `followups` — you do not apply them.

Dossier

{
  "entry": {
    "printed": "Sarah EVERHARDT",
    "event": "NHK Trophy, 2026-11-27",
    "category": "Women",
    "discipline": "singles",
    "age_group": "senior",
    "step": null,
    "flag": "USA",
    "isu_number_printed": null
  },
  "isu_biography": [],
  "isu_profiles": [
    {
      "slug": "sarah-everhardt",
      "name": "Sarah EVERHARDT",
      "birth_date": "2006-11-12",
      "place_of_birth": "Cherry Point, NC ",
      "country": "USA",
      "club": "Washington Figure Skating Club",
      "gender": "F"
    }
  ],
  "loader_guess": [
    8852555
  ],
  "people": [
    {
      "printed": "Sarah EVERHARDT",
      "candidates": [
        {
          "card": 8852555,
          "name": "Sarah EVERHARDT",
          "latin": "Sarah EVERHARDT",
          "gender": "women",
          "birth_date": "2006-11-12",
          "results_total": 41,
          "last_starts": [
            {
              "date": "2026-03-24",
              "event": "World Championships",
              "level": "worlds",
              "category": "Women",
              "discipline": "singles",
              "age_group": "senior",
              "step": null,
              "club": null,
              "flag": "USA",
              "place": 11,
              "total": "197.43",
              "partner": null
            },
            {
              "date": "2026-01-21",
              "event": "Four Continents Championships",
              "level": "continental",
              "category": "Women",
              "discipline": "singles",
              "age_group": "senior",
              "step": null,
              "club": null,
              "flag": "USA",
              "place": 8,
              "total": "182.72",
              "partner": null
            },
            {
              "date": "2025-11-25",
              "event": "Tallinn Trophy",
              "level": "challenger",
              "category": "Women",
              "discipline": "singles",
              "age_group": "senior",
              "step": null,
              "club": null,
              "flag": "USA",
              "place": 2,
              "total": "184.88",
              "partner": null
            },
            {
              "date": "2025-11-06",
              "event": "NHK Trophy",
              "level": "gp_stage",
              "category": "Women",
              "discipline": "singles",
              "age_group": "senior",
              "step": null,
              "club": null,
              "flag": "USA",
              "place": 5,
              "total": "186.69",
              "partner": null
            },
            {
              "date": "2025-10-31",
              "event": "Skate Canada International",
              "level": "gp_stage",
              "category": "Women",
              "discipline": "singles",
              "age_group": "senior",
              "step": null,
              "club": null,
              "flag": "USA",
              "place": 7,
              "total": "174.59",
              "partner": null
            }
          ]
        },
        {
          "card": 9650601,
          "name": "Sarah Everhardt",
          "latin": "Sarah Everhardt",
          "gender": "women",
          "birth_date": null,
          "results_total": 2,
          "last_starts": [
            {
              "date": "2020-08-13",
              "event": "Hershey Open",
              "level": "national_other",
              "category": "2020 Hershey Open",
              "discipline": "singles",
              "age_group": "novice",
              "step": null,
              "club": null,
              "flag": "USA",
              "place": 1,
              "total": "43.04",
              "partner": null
            },
            {
              "date": "2020-08-13",
              "event": "Hershey Open",
              "level": "national_other",
              "category": "2020 Hershey Open",
              "discipline": "singles",
              "age_group": "novice",
              "step": null,
              "club": null,
              "flag": "USA",
              "place": 3,
              "total": "77.16",
              "partner": null
            }
          ]
        }
      ]
    }
  ]
}

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: {"cards": [<card id or null, one per person in the order of `people`>], "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": 0.007062,
  "is_byok": false,
  "cost_details": {
    "upstream_inference_cost": 0.007062,
    "upstream_inference_prompt_cost": 0.003602,
    "upstream_inference_completions_cost": 0.00346
  },
  "total_tokens": 2147,
  "prompt_tokens": 1801,
  "completion_tokens": 346,
  "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
  }
}