Triple

T10323046
Position Surface form Disambiguated ID Type / Status
Subject Esther Kahn E242687 entity
Predicate hasCastMember P2308 FINISHED
Object Emmanuelle Devos E663487 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: Emmanuelle Devos | Statement: [Esther Kahn, hasCastMember, Emmanuelle Devos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmanuelle Devos
Context triple: [Esther Kahn, hasCastMember, Emmanuelle Devos]
  • A. Emmanuelle Devos chosen
    Emmanuelle Devos is an acclaimed French actress known for her nuanced performances in contemporary French cinema, often collaborating with prominent auteurs.
  • B. Ludivine Sagnier
    Ludivine Sagnier is a French actress known for her versatile performances in both art-house and mainstream films, as well as in international television series.
  • C. Emmanuelle Vaugier
    Emmanuelle Vaugier is a Canadian actress and model known for her roles in film and television, including appearances in projects like "Two and a Half Men," "Smallville," and various genre films.
  • D. Sandrine Kiberlain
    Sandrine Kiberlain is a French actress and singer known for her acclaimed performances in both dramatic and comedic films.
  • E. Sandrine Holt
    Sandrine Holt is a Canadian actress known for her roles in film and television, including appearances in genre franchises and high-profile dramas.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cdb6cc8190b37ca4494287128b completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71da2053481908fe5ed097b480cdd completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:50 a.m.