Triple

T18085565
Position Surface form Disambiguated ID Type / Status
Subject Vivienne Westwood E432824 entity
Predicate child P120 FINISHED
Object Joseph Corré 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: Joseph Corré | Statement: [Vivienne Westwood, child, Joseph Corré]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Corré
Context triple: [Vivienne Westwood, child, Joseph Corré]
  • A. Joseph Corré chosen
    Joseph Corré is a British activist and entrepreneur best known as the co-founder of the lingerie brand Agent Provocateur and for his high-profile protests against government surveillance and climate inaction.
  • B. Louis Seigner
    Louis Seigner was a prominent French actor and long-time member of the Comédie-Française, known for his extensive work in theatre and film.
  • C. Georges Benoît
    Georges Benoît was a French cinematographer active in early 20th-century cinema, known for his work on both European and American films.
  • D. Francis Pierlot
    Francis Pierlot was an American character actor known for his supporting roles in early 20th-century stage and film productions.
  • E. Louis Henry Jourdan
    Louis Henry Jourdan is the son of French actor Louis Jourdan, known for his work in classic Hollywood and European cinema.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fdb00c8190b4769699e94c8941 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.