Triple

T17340482
Position Surface form Disambiguated ID Type / Status
Subject The Bride Wore Black E421052 entity
Predicate starring P1507 FINISHED
Object Michel Bouquet 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: Michel Bouquet | Statement: [The Bride Wore Black, starring, Michel Bouquet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michel Bouquet
Context triple: [The Bride Wore Black, starring, Michel Bouquet]
  • A. Michel Bouquet chosen
    Michel Bouquet was a renowned French actor celebrated for his nuanced performances in theatre and film over a career spanning more than six decades.
  • B. Georges Benoît
    Georges Benoît was a French cinematographer active in early 20th-century cinema, known for his work on both European and American films.
  • C. René Azaire
    René Azaire is a character in Sebastian Faulks's novel "Birdsong," depicted as the wealthy, authoritarian husband of Isabelle Azaire in pre–World War I France.
  • D. Pierre Fresnay
    Pierre Fresnay was a prominent French stage and film actor known for his refined performances in classics such as "Marius" and "La Grande Illusion."
  • E. Jean-Luc Ourgaud
    Jean-Luc Ourgaud is a French local politician who serves as the mayor of the suburban commune of Montigny-le-Bretonneux, near Paris.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a15f6488190ad7d489e7391ab12 completed April 19, 2026, 2:12 a.m.
Created at: April 10, 2026, 5:44 a.m.