Triple

T3150428
Position Surface form Disambiguated ID Type / Status
Subject Gilda Radner E65863 entity
Predicate givenName P17 FINISHED
Object Gilda E260196 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: Gilda | Statement: [Gilda Radner, givenName, Gilda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilda
Context triple: [Gilda Radner, givenName, Gilda]
  • A. Gilda chosen
    Gilda is a classic 1946 American film noir starring Rita Hayworth in one of her most iconic roles.
  • B. Johnny Guitar
    Johnny Guitar is a 1954 cult-classic Western film, noted for its unconventional style, strong female lead, and subversive take on genre conventions.
  • C. In a Lonely Place
    In a Lonely Place is a 1950 film noir drama starring Humphrey Bogart as a troubled screenwriter suspected of murder, noted for its dark psychological complexity and cynical view of Hollywood and relationships.
  • D. Lucy Gayheart
    Lucy Gayheart is a 1935 novel by Willa Cather that follows a young pianist’s emotional and artistic awakening in a small Nebraska town and the tragic consequences of her romantic idealism.
  • E. Red Dust
    Red Dust is a 1932 American pre-Code romantic drama film starring Clark Gable and Jean Harlow, set on a rubber plantation in French Indochina.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5bf902c8190a490fa55e2dcecc0 completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f94f3881909a277c45c9add0f5 completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.