Triple

T10260747
Position Surface form Disambiguated ID Type / Status
Subject Ernest Borgnine E240586 entity
Predicate spouse P13 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: [Ernest Borgnine, spouse, Katy Jurado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katy Jurado
Context triple: [Ernest Borgnine, spouse, 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. 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.
  • E. Ana García
    Ana García is a common Spanish personal name shared by multiple notable individuals across fields such as journalism, politics, and the arts.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d25bc7f88190b7e83243894d1aeb completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7f1500c819089d569dbfce705b8 completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:32 a.m.