Triple

T22836419
Position Surface form Disambiguated ID Type / Status
Subject Michael Young E565959 entity
Predicate playedUnderCoach P7113 FINISHED
Object Guy Lewis NE NERFINISHED

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: Guy Lewis | Statement: [Michael Young, playedUnderCoach, Guy Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guy Lewis
Context triple: [Michael Young, playedUnderCoach, Guy Lewis]
  • A. Guy Lewis chosen
    Guy Lewis was a Hall of Fame American college basketball coach best known for building the University of Houston into a national powerhouse and popularizing the high-flying "Phi Slama Jama" teams of the 1980s.
  • B. Buddy Hackett
    Buddy Hackett was an American comedian and actor known for his distinctive voice, rubber-faced expressions, and roles in films like "The Music Man" and "It's a Mad, Mad, Mad, Mad World."
  • C. Bill Lewis
    Bill Lewis is a member of the Lewis family, known primarily in relation to that family group.
  • D. Don Hartman
    Don Hartman was an American screenwriter, director, and producer best known for his work on classic Hollywood comedies and musicals in the 1930s and 1940s.
  • E. Paul Lynde
    Paul Lynde was an American comedian and character actor known for his flamboyant wit, distinctive voice, and frequent appearances on television shows like "Bewitched" and "Hollywood Squares."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2f09608190bc8e465e53b39e2e completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:35 p.m.