Triple

T16190995
Position Surface form Disambiguated ID Type / Status
Subject Ido Mosseri E392937 entity
Predicate coStarredWith P14987 FINISHED
Object Emmanuelle Chriqui E392936 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 Chriqui | Statement: [Ido Mosseri, coStarredWith, Emmanuelle Chriqui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmanuelle Chriqui
Context triple: [Ido Mosseri, coStarredWith, Emmanuelle Chriqui]
  • A. Emmanuelle Chriqui chosen
    Emmanuelle Chriqui is a Canadian actress best known for her roles in the HBO series "Entourage" and various film and television projects.
  • B. Emmanuelle Seigner
    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."
  • C. Emmanuelle Mimieux
    Emmanuelle Mimieux is an alias used by the character Shosanna Dreyfus in Quentin Tarantino’s film "Inglourious Basterds."
  • D. Emmanuelle Béart
    Emmanuelle Béart is a French actress acclaimed for her performances in films such as "Manon des Sources" and "Mission: Impossible."
  • E. Linda Fiorentino
    Linda Fiorentino is an American actress known for her sharp, sultry screen presence in films such as "The Last Seduction" and "Men in Black."
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d5769c8190bbb604bfa095a1a5 completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00078bbc388190b3fb793556ddd75a completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:02 a.m.