Triple

T14781203
Position Surface form Disambiguated ID Type / Status
Subject Mexican cinema E347391 entity
Predicate notableActor P7010 FINISHED
Object Katy Jurado E252858 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: Katy Jurado | Statement: [Mexican cinema, notableActor, Katy Jurado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katy Jurado
Context triple: [Mexican cinema, notableActor, 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. Gloria Trillo
    Gloria Trillo is a troubled, sharp-tongued car saleswoman and Tony Soprano’s intense love interest on the television series "The Sopranos."
  • E. Maria Conchita Alonso
    Maria Conchita Alonso is a Cuban-Venezuelan actress and singer known for her work in both Latin American and Hollywood films and television.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9de3f48190b7706925e2947cf5 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b626c48190a6aa9eda43539246 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.