Triple

T22210802
Position Surface form Disambiguated ID Type / Status
Subject Lena Olin E548937 entity
Predicate workedWith P398 FINISHED
Object Juliette Binoche 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: Juliette Binoche | Statement: [Lena Olin, workedWith, Juliette Binoche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juliette Binoche
Context triple: [Lena Olin, workedWith, Juliette Binoche]
  • A. Juliette Binoche chosen
    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."
  • B. Jean-Marie Binoche
    Jean-Marie Binoche is a French actor and director best known as the father of acclaimed actress Juliette Binoche.
  • C. Madeleine Renaud
    Madeleine Renaud was a renowned French stage and film actress, celebrated for her work with the Comédie-Française and her influential partnership with director-actor Jean-Louis Barrault.
  • D. Nathalie Baye
    Nathalie Baye is an acclaimed French actress known for her versatile performances in both art-house and mainstream cinema since the 1970s.
  • E. Béatrice Dalle
    Béatrice Dalle is a French actress known for her intense, unconventional screen presence and breakout role in the 1986 film "Betty Blue."
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2bcf748190a9721f0c9ae17e70 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.