Triple

T11733666
Position Surface form Disambiguated ID Type / Status
Subject Emmanuelle Vaugier E278969 entity
Predicate name P16 FINISHED
Object Emmanuelle Vaugier E278969 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 Vaugier | Statement: [Emmanuelle Vaugier, name, Emmanuelle Vaugier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmanuelle Vaugier
Context triple: [Emmanuelle Vaugier, name, Emmanuelle Vaugier]
  • A. Emmanuelle Vaugier chosen
    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.
  • B. Doriane Bécue
    Doriane Bécue is a French politician who serves as the mayor of the city of Tourcoing in northern France.
  • C. Amandine Malkovich
    Amandine Malkovich is one of the children of American actor and filmmaker John Malkovich.
  • D. Annick Castiaux
    Annick Castiaux is a Belgian academic and university leader who serves as rector of the University of Namur.
  • E. Sylvie Dorléac
    Sylvie Dorléac is a French actress and member of a prominent film family, known as the sister of iconic cinema star Catherine Deneuve.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4daa7f48190896fc7653e9dd70b completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f48a1d244c81908628b01afe467023 completed May 1, 2026, 11:10 a.m.
Created at: April 8, 2026, 9:41 p.m.