Triple

T17606804
Position Surface form Disambiguated ID Type / Status
Subject Trapeze E428853 entity
Predicate starring P1507 FINISHED
Object Katy Jurado 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: Katy Jurado | Statement: [Trapeze, starring, Katy Jurado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katy Jurado
Context triple: [Trapeze, starring, Katy Jurado]
  • A. Katy Jurado chosen
    Katy Jurado was a pioneering Mexican actress who achieved international fame in Hollywood Westerns and became the first Latin American woman to win a Golden Globe.
  • B. Silvia Pinal
    Silvia Pinal is a renowned Mexican actress and producer, celebrated for her work in classic Mexican cinema and her collaborations with director Luis Buñuel.
  • C. Dolores Chanal
    Dolores Chanal is a pivotal, psychologically significant figure in the film "Shutter Island," central to the protagonist’s emotional and mental unraveling.
  • D. Sara García
    Sara García was a legendary Mexican film actress, famously known as the “Grandmother of Mexican Cinema” for her iconic maternal roles in classic Golden Age movies.
  • E. Gloria Trillo
    Gloria Trillo is a troubled, sharp-tongued car saleswoman and Tony Soprano’s intense love interest on the television series "The Sopranos."
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4ccef08190aeaa88670364bd74 completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.