- time
- 2026-09-30 15:58:43
- pipeline
- isu_pipeline
- run
- gpfra2026
- step
- 6 entries people
- object
- 2136406 Sarah EVERHARDT
- model_requested
- anthropic/claude-sonnet-5.5
- model_returned
- anthropic/claude-sonnet-5.5
- provider
- Claude Platform on AWS
- latency_s
- 3.83
- prompt_tokens
- 1802
- completion_tokens
- 359
- cost_usd
- 0.007194
- finish_reason
- stop
- json_error
- False
- review_verdict
- review_note
- call_id
- d9af8b09-5d08-4479-b8dc-f4be5d0e0b6a
Answer
{
"why": "Card 8852555 matches the entry on name, flag (USA), discipline (singles), category (Women) and age group (senior). Its recent seasons are at the top level (Worlds, Four Continents, Grand Prix events), and its birth date 2006-11-12 matches the ISU profile for Sarah EVERHARDT (USA). The loader guess agrees. Card 9650601 has no birth date and only two novice results from 2020 (Hershey Open). It could be the same skater at a younger age, since a 2006 birth would make her about 13-14 then, but there is no proof. It is a likely duplicate, so I flagged it for later review.",
"cards": [
8852555
],
"followups": [
{
"card": 9650601,
"issue": "Possible duplicate of card 8852555: same name and flag, no birth date, only two 2020 novice results at the Hershey Open.",
"suggestion": "Check whether the 2020 Hershey Open results belong to Sarah Everhardt (b. 2006-11-12). If so, merge the cards or move the results to 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": "Grand Prix de France, 2026-10-23",
"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": 0.007194,
"is_byok": false,
"cost_details": {
"upstream_inference_cost": 0.007194,
"upstream_inference_prompt_cost": 0.003604,
"upstream_inference_completions_cost": 0.00359
},
"total_tokens": 2161,
"prompt_tokens": 1802,
"completion_tokens": 359,
"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
}
}