Triple

T15313536
Position Surface form Disambiguated ID Type / Status
Subject Emmanuelle E366096 entity
Predicate hasNotableBearer P458 FINISHED
Object Emmanuelle Seigner E265931 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 Seigner | Statement: [Emmanuelle, hasNotableBearer, Emmanuelle Seigner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmanuelle Seigner
Context triple: [Emmanuelle, hasNotableBearer, Emmanuelle Seigner]
  • A. Emmanuelle Seigner chosen
    Emmanuelle Seigner is a French actress, former model, and singer known for her frequent collaborations with director Roman Polanski in films such as "Frantic," "Bitter Moon," and "The Ninth Gate."
  • B. Emmanuelle Béart
    Emmanuelle Béart is a French actress acclaimed for her performances in films such as "Manon des Sources" and "Mission: Impossible."
  • C. Emmanuelle Mimieux
    Emmanuelle Mimieux is an alias used by the character Shosanna Dreyfus in Quentin Tarantino’s film "Inglourious Basterds."
  • D. Emmanuelle Chriqui
    Emmanuelle Chriqui is a Canadian actress best known for her roles in the HBO series "Entourage" and various film and television projects.
  • E. Edwige Fenech
    Edwige Fenech is an Italian actress and film producer best known as a major star of 1970s giallo thrillers and sex-comedy films.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd050108190a584543cb93943a4 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3dac6c81908eaa0aaad29113ee completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:16 a.m.