Triple

T15811086
Position Surface form Disambiguated ID Type / Status
Subject Hang Time E383353 entity
Predicate hasCastMember P2308 FINISHED
Object Anthony Anderson E166988 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: Anthony Anderson | Statement: [Hang Time, hasCastMember, Anthony Anderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Anderson
Context triple: [Hang Time, hasCastMember, Anthony Anderson]
  • A. Anthony Anderson chosen
    Anthony Anderson is an American actor and comedian known for his roles in film and television, including the hit sitcom "Black-ish."
  • B. John Brydon
    John Brydon was a British architect of the late 19th and early 20th centuries, known for designing prominent public buildings in London.
  • C. Mark Curtis
    Mark Curtis is a British historian and author known for his critical works on UK foreign policy and Western interventionism.
  • D. Rick Leary
    Rick Leary is a Canadian public transit executive who serves as the chief executive officer of the Toronto Transit Commission, overseeing the city’s bus, streetcar, and subway operations.
  • E. Bill Durnan
    Bill Durnan was a Hall of Fame Canadian goaltender for the Montreal Canadiens in the 1940s, renowned for his ambidextrous catching ability and dominance in the early NHL.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52aae14819091de08630e7e1d1a completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3b4378c81908850161988a03b9e completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:49 a.m.