Triple

T14743983
Position Surface form Disambiguated ID Type / Status
Subject Lev Praha E346418 entity
Predicate notableCoach P550 FINISHED
Object Josef Jandač E346420 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: Josef Jandač | Statement: [Lev Praha, notableCoach, Josef Jandač]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josef Jandač
Context triple: [Lev Praha, notableCoach, Josef Jandač]
  • A. Josef Jandač chosen
    Josef Jandač is a Czech ice hockey coach best known for leading top clubs and serving as head coach of the Czech national team.
  • B. Juraj Jakubisko
    Juraj Jakubisko was a renowned Slovak film director celebrated for his visually poetic, surreal, and often politically charged films that made him one of Central Europe’s most distinctive auteurs.
  • C. Josef Šebánek
    Josef Šebánek was a Czech actor best known for his roles in Miloš Forman’s films during the Czechoslovak New Wave era.
  • D. Viliam Široký
    Viliam Široký was a Czechoslovak communist politician who served as prime minister during the early Cold War era and was a prominent figure in the country’s Stalinist leadership.
  • E. Luděk Bukač
    Luděk Bukač was a prominent Czech ice hockey coach and former player, best known for leading Czechoslovak and later Czech national teams to multiple World Championship titles.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e79997c8190bb6f158d50603066 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:30 a.m.