LLM calls

sportstatsdb.com pipelines
time
2026-09-29 22:16:06
pipeline
isu_pipeline
run
csita2026
step
9 people
object
Katerina MRAZKOVA / Daniel MRAZEK
model_requested
anthropic/claude-sonnet-5.5
model_returned
anthropic/claude-sonnet-5.5
provider
Claude Platform on AWS
latency_s
6.06
prompt_tokens
1692
completion_tokens
527
cost_usd
0.008654
finish_reason
stop
json_error
False
review_verdict
review_note
call_id
d9c8bda5-897c-474c-a988-acc6aa015aed

Answer

{
  "why": "Both current cards match the printed names. Daniel MRAZEK (8855323) and Katerina MRAZKOVA (8855825) are listed as each other's partner in ice dance at the 2026 Nebelhorn Trophy, World Championships and Olympics. This row is a senior ice dance result a week before Nebelhorn, so it fits the same team. The other Daniel MRAZEK card (9052776) has the same birth date but no results, so it looks like an empty duplicate. It gives no reason to move the link.",
  "card": null,
  "slot": null,
  "decision": "keep",
  "followups": [
    {
      "card": 9052776,
      "issue": "Possible duplicate of card 8855323 (Daniel MRAZEK): same name and birth date 2003-05-15, but 0 results.",
      "suggestion": "Check whether this card is a duplicate and merge or delete it. Also check whether the ISU number isufs00110767 on this row belongs to either card, and record it on the correct one."
    }
  ],
  "confidence": "high"
}

Task

A result row was attached to existing athlete card(s) by the loader. Do you agree with this linkage? Options: 'keep' (current cards are right), 'card' (replace the person in slot `slot` with card `card` from the alternatives), 'new' (the person in slot `slot` is someone without a card yet). You MUST decide; if in doubt, pick the most likely option and set confidence 'low'. Put anything that should be corrected in the data or checked later (a wrong birth date on a card, a suspicious career, a possible duplicate card) into `followups` — you do not apply them.

Dossier

{
  "row": {
    "printed": "Katerina MRAZKOVA / Daniel MRAZEK",
    "event": "Lombardia Trophy, 2026-09-17",
    "category": "ICE DANCE",
    "discipline": "dance",
    "age_group": "senior",
    "step": null,
    "flag": null,
    "club": null,
    "place": 1,
    "isu_number_printed": null,
    "isu_number_on_competitor": "isufs00110767"
  },
  "isu_biography": [],
  "people_on_row": [
    {
      "current_card": {
        "card": 8855323,
        "name": "Daniel MRAZEK",
        "latin": "Daniel MRAZEK",
        "gender": "men",
        "birth_date": "2003-05-15",
        "results_total": 71,
        "last_starts": [
          {
            "date": "2026-09-23",
            "event": "Nebelhorn Trophy",
            "level": "challenger",
            "category": "ICE DANCE",
            "discipline": "dance",
            "age_group": "senior",
            "step": null,
            "club": null,
            "flag": null,
            "place": 4,
            "partner": "Katerina MRAZKOVA"
          },
          {
            "date": "2026-03-24",
            "event": "World Championships",
            "level": "worlds",
            "category": "Ice Dance",
            "discipline": "dance",
            "age_group": "senior",
            "step": null,
            "club": null,
            "flag": "CZE",
            "place": 11,
            "partner": "Katerina MRAZKOVA"
          },
          {
            "date": "2026-02-06",
            "event": "Olympic Games",
            "level": "olympics",
            "category": "Ice Dance",
            "discipline": "dance",
            "age_group": "senior",
            "step": null,
            "club": null,
            "flag": "CZE",
            "place": 16,
            "partner": "Katerina MRAZKOVA"
          }
        ]
      },
      "alternatives_same_name": [
        {
          "card": 9052776,
          "name": "Daniel MRAZEK",
          "latin": "Daniel Mrazek",
          "gender": "men",
          "birth_date": "2003-05-15",
          "results_total": 0,
          "last_starts": []
        }
      ]
    },
    {
      "current_card": {
        "card": 8855825,
        "name": "Katerina MRAZKOVA",
        "latin": "Katerina MRAZKOVA",
        "gender": "women",
        "birth_date": "2006-08-25",
        "results_total": 65,
        "last_starts": [
          {
            "date": "2026-09-23",
            "event": "Nebelhorn Trophy",
            "level": "challenger",
            "category": "ICE DANCE",
            "discipline": "dance",
            "age_group": "senior",
            "step": null,
            "club": null,
            "flag": null,
            "place": 4,
            "partner": "Daniel MRAZEK"
          },
          {
            "date": "2026-03-24",
            "event": "World Championships",
            "level": "worlds",
            "category": "Ice Dance",
            "discipline": "dance",
            "age_group": "senior",
            "step": null,
            "club": null,
            "flag": "CZE",
            "place": 11,
            "partner": "Daniel MRAZEK"
          },
          {
            "date": "2026-02-06",
            "event": "Olympic Games",
            "level": "olympics",
            "category": "Ice Dance",
            "discipline": "dance",
            "age_group": "senior",
            "step": null,
            "club": null,
            "flag": "CZE",
            "place": 16,
            "partner": "Daniel MRAZEK"
          }
        ]
      },
      "alternatives_same_name": []
    }
  ],
  "conflicts": []
}

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": "..."}]}

Usage

{
  "cost": 0.008654,
  "is_byok": false,
  "cost_details": {
    "upstream_inference_cost": 0.008654,
    "upstream_inference_prompt_cost": 0.003384,
    "upstream_inference_completions_cost": 0.00527
  },
  "total_tokens": 2219,
  "prompt_tokens": 1692,
  "completion_tokens": 527,
  "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": 197
  }
}