- time
- 2026-09-30 22:52:20
- pipeline
- isu_pipeline
- run
- pilot_20260930_2251
- step
- people_llm
- object
- Елизавета ЧУЕВА
- model_requested
- anthropic/claude-sonnet-5.5
- model_returned
- anthropic/claude-sonnet-5.5
- provider
- Claude Platform on AWS
- latency_s
- 4.17
- prompt_tokens
- 2541
- completion_tokens
- 300
- cost_usd
- 0.008082
- finish_reason
- stop
- json_error
- False
- review_verdict
- review_note
- call_id
- cfe1f444-8c88-4525-9455-8ab0d404d210
Answer
{
"why": "The current card 9570590 has a continuous career in the same discipline, step (rus_1sport), club (СШОР №1, Москва) and score range. Its starts on 2014-02-26 (94.15), 2014-03-26 (83.79) and 2014-05-14 (86.08) bracket this event on 2014-04-24 (92.33), with no date conflict. Alternative 9567793 has no results and so offers no evidence. Alternative 9658765 is an Udmurtia beginner born around 2018-2019, who could not have skated a 1st sport class event in 2014.",
"card": null,
"slot": null,
"decision": "keep",
"followups": [
{
"card": 9567793,
"issue": "Empty card with no results that shares the name and Latin spelling of card 9570590.",
"suggestion": "Check whether it is a duplicate of 9570590 and merge or delete it if so."
}
],
"confidence": "high"
}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": "Елизавета ЧУЕВА",
"event": "Соревнования по фигурному катанию на коньках на приз ЗМС М.Е. Черкасовой, Москва, 2014-04-24",
"category": "RESULTS 1-Й СПОРТИВНЫЙ, ДЕВОЧКИ",
"discipline": "singles",
"age_group": "novice",
"step": "rus_1sport",
"flag": "RUS",
"club_or_region_printed": "СШОР № 1",
"place": 8,
"total": "92.33",
"segments": {
"SP": "36.26",
"FS": "56.07"
}
},
"people_on_row": [
{
"current_card": {
"card": 9570590,
"name": "Елизавета ЧУЕВА",
"latin": "Elizaveta Chueva",
"gender": "women",
"birth_date": null,
"results_total": 8,
"last_starts": [
{
"date": "2016-04-26",
"event": "Cherkasova Cup",
"level": "national_other",
"category": "1-Й СПОРТИВНЫЙ, ДЕВОЧКИ",
"discipline": "singles",
"age_group": "novice",
"step": "rus_1sport",
"club": "СШОР №1, Москва",
"flag": "RUS",
"place": 13,
"total": "78.02",
"partner": null
},
{
"date": "2014-05-14",
"event": "Tolmacheva-Granatkina Memorial",
"level": "national_other",
"category": "1-Й СПОРТИВНЫЙ, ДЕВОЧКИ",
"discipline": "singles",
"age_group": "novice",
"step": "rus_1sport",
"club": "Москва, СДЮШОР №1",
"flag": "RUS",
"place": 18,
"total": "86.08",
"partner": null
},
{
"date": "2014-03-26",
"event": "First Thaw Trophy",
"level": "national_other",
"category": "RESULTS 1-Й СПОРТИВНЫЙ, ДЕВОЧКИ",
"discipline": "singles",
"age_group": "novice",
"step": "rus_1sport",
"club": "СШОР № 1",
"flag": "RUS",
"place": 12,
"total": "83.79",
"partner": null
},
{
"date": "2014-02-26",
"event": "Silver Sharks Trophy",
"level": "national_other",
"category": "1-Й СПОРТИВНЫЙ, ДЕВОЧКИ",
"discipline": "singles",
"age_group": "novice",
"step": "rus_1sport",
"club": "СШОР № 1",
"flag": "RUS",
"place": 11,
"total": "94.15",
"partner": null
},
{
"date": "2013-12-04",
"event": "Rodnina Trophy",
"level": "national_other",
"category": "1 СПОРТИВНЫЙ ДЕВУШКИ RESULT DETAILS",
"discipline": "singles",
"age_group": "novice",
"step": "rus_1sport",
"club": null,
"flag": "RUS",
"place": 19,
"total": "86.52",
"partner": null
},
{
"date": "2013-01-18",
"event": "Tchaikovskaya Trophy",
"level": "national_other",
"category": "2 СПОРТИВНЫЙ ДЕВОЧКИ",
"discipline": "singles",
"age_group": "novice",
"step": "rus_2sport",
"club": null,
"flag": "RUS",
"place": 16,
"total": "78.49",
"partner": null
}
],
"spellings": [
"Yelizaveta CHUEVA",
"Yelizaveta CHUEVA SD1",
"Елизавета ЧУЕВА",
"Елизавета ЧУЕВА СД1"
]
},
"alternatives": [
{
"card": 9567793,
"name": "Чуева Елизавета",
"latin": "Elizaveta Chueva",
"gender": "women",
"birth_date": null,
"results_total": 0,
"last_starts": [],
"spellings": [
"Elizaveta Chueva",
"Чуева Елизавета"
]
},
{
"card": 9658765,
"name": "Елизавета ЧУЕВА",
"latin": "Yelizaveta CHUEVA",
"gender": "women",
"birth_date": null,
"results_total": 1,
"last_starts": [
{
"date": "2026-04-13",
"event": "Udmurtia Federation Trophy Festival",
"level": "national_other",
"category": "Нoвичoк - дeвoчки 2018-2019",
"discipline": "singles",
"age_group": "novice",
"step": "rus_beginner",
"club": "Удмуртская Республика, СШ \"Гвоздика\"",
"flag": "RUS",
"place": 3,
"total": "7.74",
"partner": null
}
],
"spellings": [
"Yelizaveta CHUEVA",
"Yelizaveta Viktorovna CHUEVA",
"Елизавета Викторовна ЧУЕВА",
"Елизавета ЧУЕВА"
]
}
]
}
]
}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": 0.008082,
"is_byok": false,
"cost_details": {
"upstream_inference_cost": 0.008082,
"upstream_inference_prompt_cost": 0.005082,
"upstream_inference_completions_cost": 0.003
},
"total_tokens": 2841,
"prompt_tokens": 2541,
"completion_tokens": 300,
"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
}
}