Triple

T12390862
Position Surface form Disambiguated ID Type / Status
Subject Knives Out E295988 entity
Predicate castMember P1668 FINISHED
Object M. Emmet Walsh E380942 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: M. Emmet Walsh | Statement: [Knives Out, castMember, M. Emmet Walsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M. Emmet Walsh
Context triple: [Knives Out, castMember, M. Emmet Walsh]
  • A. M. Emmet Walsh chosen
    M. Emmet Walsh is an American character actor known for his prolific film and television career, including memorable roles in movies like "Blade Runner," "Blood Simple," and "Raising Arizona."
  • B. Fred Flynn
    Fred Flynn was the son of prominent American labor leader and feminist activist Elizabeth Gurley Flynn.
  • C. John McDermott
    John McDermott is a Scottish-Canadian tenor known for his interpretations of traditional Celtic and Irish songs and for his work with the Irish Tenors.
  • D. Raymond Wallace Bolger
    Raymond Wallace Bolger was an American actor, singer, and dancer best known for his iconic role as the Scarecrow in the classic film "The Wizard of Oz."
  • E. Robert Parrish
    Robert Parrish was an American film editor and director, as well as a former child actor, known for his work on several classic Hollywood films.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd0bcc48190bb1a59a3aaa6bfdf completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b941d208190b75de2083b8b74a4 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:54 p.m.