Triple

T36774637
Position Surface form Disambiguated ID Type / Status
Subject Quadrille E908581 entity
Predicate directorStarCombination P106880 FINISHED
Object Sacha Guitry as director and lead actor LITERAL 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: Sacha Guitry as director and lead actor | Statement: [Quadrille, directorStarCombination, Sacha Guitry as director and lead actor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: directorStarCombination
Context triple: [Quadrille, directorStarCombination, Sacha Guitry as director and lead actor]
  • A. hasDirectorStar chosen
    Indicates that a person both directed and starred in the same work (e.g., film, show, or production).
  • B. filmCoStar
    Indicates that two people appeared together as co-actors in the same film.
  • C. directorAssociatedWith
    Indicates a relationship where a director is professionally connected to, responsible for, or involved with a particular entity (such as a work, organization, or project).
  • D. starredActorWith
    Indicates that one entity participated as an actor in a production together with another specified actor.
  • E. directorOfWorkFeaturingSubject
    Indicates that the subject is the director of a creative work in which another specified entity appears or is featured.
  • F. None of above.

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_69f76e798aa08190ace31098d1b13e9f completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fe5ec9028081909ae3d6fbe2f4cbbc completed May 8, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69fe5e1d715881909fc516fafc707644 completed May 8, 2026, 10:05 p.m.
Created at: May 3, 2026, 4:12 p.m.