Triple

T12725180
Position Surface form Disambiguated ID Type / Status
Subject Vera Cruz (19554 film) E304085 entity
Predicate starring P1507 FINISHED
Object Denise Darcel E765365 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: Denise Darcel | Statement: [Vera Cruz (19554 film), starring, Denise Darcel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denise Darcel
Context triple: [Vera Cruz (19554 film), starring, Denise Darcel]
  • A. Denise Darcel chosen
    Denise Darcel was a French-born actress and singer best known for her roles in 1950s Hollywood films and her sultry, glamorous screen presence.
  • B. Françoise Rosay
    Françoise Rosay was a prominent French stage and film actress known for her powerful character roles in European cinema from the 1920s through the 1950s.
  • C. Claudine Denosse
    Claudine Denosse was the wife of the prominent 16th-century Reformed theologian and Calvinist leader Theodore Beza.
  • D. Françoise Brion
    Françoise Brion is a French actress known for her work in European cinema from the 1960s onward, including collaborations with prominent auteurs.
  • E. Mireille Darc
    Mireille Darc was a prominent French actress and model, best known for her roles in 1960s–1970s French cinema and her collaborations with director Georges Lautner.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96415ebe48190ae935bc3a9b00f65 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a53e9fa08190805d55e9fcf7e79f completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:25 p.m.