Triple

T22839714
Position Surface form Disambiguated ID Type / Status
Subject The Girl Can’t Help It E566047 entity
Predicate starring P1507 FINISHED
Object Edmond O’Brien 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: Edmond O’Brien | Statement: [The Girl Can’t Help It, starring, Edmond O’Brien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edmond O’Brien
Context triple: [The Girl Can’t Help It, starring, Edmond O’Brien]
  • A. Edmond O'Brien chosen
    Edmond O'Brien was an American character actor and Academy Award winner known for his intense, hard-boiled performances in film noir and classic Hollywood dramas.
  • B. Ray Taylor
    Ray Taylor was an American film director best known for his work on action-packed serials and B-movies during the early 20th century.
  • C. Richard Widmark
    Richard Widmark was an American film and television actor renowned for his intense portrayals in film noir and Westerns, particularly during Hollywood’s mid-20th-century era.
  • D. Lew Ayres
    Lew Ayres was an American actor best known for his starring role in the anti-war film "All Quiet on the Western Front" and for his long-running portrayal of Dr. Kildare.
  • E. Lee J. Cobb
    Lee J. Cobb was an American character actor renowned for his powerful performances in film, television, and theater, including notable roles in classics like "12 Angry Men" and "On the Waterfront."
  • 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_69f17e8325948190a3b63f2cd0371373 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.