Triple

T16760965
Position Surface form Disambiguated ID Type / Status
Subject 633 Squadron (1964 film) E407341 entity
Predicate castMember P1668 FINISHED
Object George Chakiris E87136 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: George Chakiris | Statement: [633 Squadron (1964 film), castMember, George Chakiris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Chakiris
Context triple: [633 Squadron (1964 film), castMember, George Chakiris]
  • A. George Chakiris chosen
    George Chakiris is an American actor and dancer best known for his Oscar-winning performance as Bernardo in the 1961 film adaptation of the musical "West Side Story."
  • B. Arthur Prysock
    Arthur Prysock was an American jazz and R&B baritone singer known for his smooth, romantic vocal style and popular recordings from the 1940s through the 1970s.
  • C. Margo Callas
    Margo Callas is a Greek-born actress and opera singer best known as a dramatic soprano and for her marriage to director Mike Nichols.
  • D. Richard Kiley
    Richard Kiley was an American stage and screen actor best known for his Tony Award–winning performance as Don Quixote in the original Broadway production of "Man of La Mancha."
  • E. Gil Doud
    Gil Doud was an American screenwriter best known for his work on mid-20th-century Hollywood films, particularly war and action dramas.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abec638c81909d71ff452a4123c9 completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2993f4c8190aecf29a4bcbf7b6a completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:21 a.m.