Triple

T22094990
Position Surface form Disambiguated ID Type / Status
Subject Pierre Salvadori E546001 entity
Predicate workedWith P398 FINISHED
Object Audrey Tautou 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: Audrey Tautou | Statement: [Pierre Salvadori, workedWith, Audrey Tautou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audrey Tautou
Context triple: [Pierre Salvadori, workedWith, Audrey Tautou]
  • A. Audrey Tautou chosen
    Audrey Tautou is a French actress best known internationally for her lead role in the film "Amélie" and for starring in several major French and Hollywood productions.
  • B. Claire Thibout
    Claire Thibout is a former French accountant whose testimony about secret cash payments to politicians played a central role in the high-profile Bettencourt affair.
  • C. Juliette Binoche
    Juliette Binoche is an acclaimed French actress known for her nuanced performances in international cinema and her Academy Award-winning role in "The English Patient."
  • D. Laetitia Casta
    Laetitia Casta is a French supermodel and actress known for her work with major fashion houses and her roles in European cinema.
  • E. Nelly Auteuil
    Nelly Auteuil is the daughter of French actor and filmmaker Daniel Auteuil.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e82c1481908701f255b834f192 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.