Triple

T13236052
Position Surface form Disambiguated ID Type / Status
Subject Lover Come Back E315148 entity
Predicate costumeDesignBy P184 FINISHED
Object Bill Thomas E324320 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: Bill Thomas | Statement: [Lover Come Back, costumeDesignBy, Bill Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Thomas
Context triple: [Lover Come Back, costumeDesignBy, Bill Thomas]
  • A. Bill Thomas chosen
    Bill Thomas was an American costume designer known for his work on numerous Hollywood films, including classic melodramas of the 1950s.
  • B. Bill Owens
    Bill Owens is an American television producer best known for leading the long-running CBS news magazine program "60 Minutes."
  • C. Bill Owens
    Bill Owens is an American photographer and photojournalist best known for his influential 1972 book "Suburbia," which documented the lives and culture of suburban middle-class Americans.
  • D. Bill Russell
    Bill Russell was a legendary American basketball center who led the Boston Celtics to 11 NBA championships and is widely regarded as one of the greatest defensive players in the sport’s history.
  • E. Tom Heinsohn
    Tom Heinsohn was a Hall of Fame player and coach for the Boston Celtics who later became a longtime, beloved television commentator for the team.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d56da008190af55da3a9e7ffd4d completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff3079c08190977663e5d4762a80 completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:22 p.m.