Triple

T21430220
Position Surface form Disambiguated ID Type / Status
Subject Payback E528663 entity
Predicate starring P1507 FINISHED
Object Gregg Henry 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: Gregg Henry | Statement: [Payback, starring, Gregg Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gregg Henry
Context triple: [Payback, starring, Gregg Henry]
  • A. Gregg Henry chosen
    Gregg Henry is an American character actor and musician known for his prolific work in film and television, often portraying intense or villainous roles.
  • B. Leo Willis
    Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
  • C. Lewis Parker
    Lewis Parker is a British hip-hop producer and rapper known for his jazzy, sample-based boom-bap sound and influential work in the UK underground scene.
  • D. Brent Barrett
    Brent Barrett is an American musical theatre actor and singer best known for his leading roles on Broadway and in West End productions, including Chicago and The Phantom of the Opera.
  • E. Steven Culp
    Steven Culp is an American actor best known for his roles in films like "Thirteen Days" and television series such as "Desperate Housewives" and "JAG."
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813ef6a8819089511b8f608c9491 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:49 p.m.