Triple

T9293263
Position Surface form Disambiguated ID Type / Status
Subject The Exterminating Angel E223572 entity
Predicate castMember P1668 FINISHED
Object Silvia Pinal E789815 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: Silvia Pinal | Statement: [The Exterminating Angel, castMember, Silvia Pinal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silvia Pinal
Context triple: [The Exterminating Angel, castMember, Silvia Pinal]
  • A. Silvia Pinal chosen
    Silvia Pinal is a renowned Mexican actress and producer, celebrated for her work in classic Mexican cinema and her collaborations with director Luis Buñuel.
  • B. Norma Aleandro
    Norma Aleandro is an acclaimed Argentine actress, screenwriter, and director, widely regarded as one of Latin America's most important film and theater performers.
  • C. Katy Jurado
    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.
  • D. Dolores del Río
    Dolores del Río was a pioneering Mexican actress and international film star of the 1920s–1940s, celebrated as one of Hollywood’s first major Latina leading ladies.
  • E. Patricia Roc
    Patricia Roc was a popular British film actress of the 1940s, best known for her roles in melodramas and wartime dramas produced by major UK studios.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0898b3288190a627a58bfd9c57fe completed April 1, 2026, 11:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0c766fb408190a9f073f033652b6f completed April 4, 2026, 8:10 a.m.
Created at: March 30, 2026, 7:35 p.m.