Triple

T13550456
Position Surface form Disambiguated ID Type / Status
Subject HC Kladno E323629 entity
Predicate hasRetiredNumber P895 FINISHED
Object #15 Pavel Patera E776936 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: #15 Pavel Patera | Statement: [HC Kladno, hasRetiredNumber, #15 Pavel Patera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: #15 Pavel Patera
Context triple: [HC Kladno, hasRetiredNumber, #15 Pavel Patera]
  • A. Pavel Patera chosen
    Pavel Patera is a retired Czech ice hockey center best known for his success with the Czech national team, including multiple World Championship titles and an Olympic gold medal.
  • B. Petr Pekar
    Petr Pekar is a person notable enough to be recognized as a bearer of the surname Pekar.
  • C. Patrik Berger
    Patrik Berger is a Swedish songwriter and record producer known for crafting pop hits for artists such as Robyn, Charli XCX, and Icona Pop.
  • D. Martin Straka
    Martin Straka is a retired Czech professional ice hockey forward and Olympic gold medalist who enjoyed a long NHL career before becoming a prominent figure in Czech domestic hockey.
  • E. Pavel Pekar
    Pavel Pekar is an individual notable enough to be recognized as a namesake of the surname Pekar, though specific widely known biographical details are not clearly established.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff0a6548190b8cde5084cef0061 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da4e19c819090d649b60a2dd410 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:46 p.m.