Triple

T7230367
Position Surface form Disambiguated ID Type / Status
Subject He Got Game E154884 entity
Predicate castMember P1668 FINISHED
Object Ned Beatty E138309 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: Ned Beatty | Statement: [He Got Game, castMember, Ned Beatty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ned Beatty
Context triple: [He Got Game, castMember, Ned Beatty]
  • A. Ned Beatty chosen
    Ned Beatty was an acclaimed American character actor known for his powerful supporting roles in films such as "Deliverance," "Network," and "Superman."
  • B. Gene Hackman
    Gene Hackman is an acclaimed American actor known for his powerful, versatile performances in films such as "The French Connection," "The Conversation," and "Unforgiven."
  • C. Eric Roberts
    Eric Roberts is an American actor known for his prolific film and television career, including an iconic turn as the villainous Time Lord known as the Master in the 1996 Doctor Who TV movie.
  • D. Nick Nolte
    Nick Nolte is an American actor known for his rugged screen presence and acclaimed performances in films such as "The Prince of Tides," "Affliction," and "48 Hrs."
  • E. William Hurt
    William Hurt was an acclaimed American actor known for his intense, introspective performances in films such as "Kiss of the Spider Woman," "Broadcast News," and "The Big Chill."
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea0d9b6c8190a0b5f0ab8d5cca19 completed March 27, 2026, 8:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa67ec208190b513bf7e8252cdcb completed March 28, 2026, 3:57 p.m.
Created at: March 27, 2026, 2:54 p.m.