Triple

T5531577
Position Surface form Disambiguated ID Type / Status
Subject Damage (1992 film) E145060 entity
Predicate starring P1507 FINISHED
Object Juliette Binoche E52980 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: Juliette Binoche | Statement: [Damage (1992 film), starring, Juliette Binoche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juliette Binoche
Context triple: [Damage (1992 film), starring, 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. Virginie Ledoyen
    Virginie Ledoyen is a French actress known for her work in both French cinema and international films, including prominent roles in dramas and thrillers.
  • C. Bérénice Bejo
    Bérénice Bejo is a French-Argentine actress best known internationally for her acclaimed performance in the silent film "The Artist."
  • D. Isabelle Adjani
    Isabelle Adjani is a celebrated French actress renowned for her intense, emotionally charged performances and multiple César Awards, making her one of France’s most acclaimed film stars.
  • E. Diane Kruger
    Diane Kruger is a German-born actress and former fashion model best known for her roles in films such as "Troy," "Inglourious Basterds," and "National Treasure."
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9d17ec8190b93b12931a4c1b33 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02805a174819096cd16f2c1ef2eb1 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:34 p.m.