Triple

T22840561
Position Surface form Disambiguated ID Type / Status
Subject Pieces of Her E566066 entity
Predicate stars P1956 FINISHED
Object Gil Birmingham 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: Gil Birmingham | Statement: [Pieces of Her, stars, Gil Birmingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gil Birmingham
Context triple: [Pieces of Her, stars, Gil Birmingham]
  • A. Gil Birmingham chosen
    Gil Birmingham is an American actor known for his powerful supporting roles in film and television, including prominent appearances in series like Yellowstone and the Twilight Saga films.
  • B. Richard Searcy
    Richard Searcy was an early 19th-century Arkansas lawyer and judge after whom the city of Searcy, Arkansas, is named.
  • C. Bill Burke
    Bill Burke is a name shared by several notable individuals, including professionals in fields such as sports, business, and the arts.
  • D. Paul Dooley
    Paul Dooley is an American character actor, writer, and comedian known for his roles in films such as "Breaking Away," "Sixteen Candles," and numerous television series.
  • E. William H. Murray
    William H. Murray was an American lawyer and politician who served as the ninth governor of Oklahoma and was a prominent figure in the state’s early political history.
  • 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_69f17e83fa48819084568264ef45c833 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.