Triple

T22633310
Position Surface form Disambiguated ID Type / Status
Subject OSS 117: Cairo, Nest of Spies E558610 entity
Predicate stars P1956 FINISHED
Object Bérénice Bejo 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: Bérénice Bejo | Statement: [OSS 117: Cairo, Nest of Spies, stars, Bérénice Bejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bérénice Bejo
Context triple: [OSS 117: Cairo, Nest of Spies, stars, Bérénice Bejo]
  • A. Bérénice Bejo chosen
    Bérénice Bejo is a French-Argentine actress best known internationally for her acclaimed performance in the silent film "The Artist."
  • B. 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."
  • C. Marion Cotillard
    Marion Cotillard is an acclaimed French actress known for her versatile performances in both French and Hollywood films, including her Oscar-winning role in "La Vie en Rose."
  • 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. Vicky Krieps
    Vicky Krieps is a Luxembourgish actress known for her acclaimed leading role opposite Daniel Day-Lewis in the period drama film "Phantom Thread."
  • 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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1700ab4308190a16b0a1b2a0210fd completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:03 p.m.