Triple

T2436852
Position Surface form Disambiguated ID Type / Status
Subject Juliette Binoche E52980 entity
Predicate knownFor P22 FINISHED
Object Chocolat E236634 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: Chocolat | Statement: [Juliette Binoche, knownFor, Chocolat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chocolat
Context triple: [Juliette Binoche, knownFor, Chocolat]
  • A. Chocolat chosen
    Chocolat is a 2000 romantic drama film set in a conservative French village, where a mysterious woman opens a chocolate shop that challenges social norms and transforms the lives of the townspeople.
  • B. Babette
    Babette is a feminine given name, commonly used as a diminutive or variant of the name Barbara.
  • C. La Joie de vivre
    La Joie de vivre is a naturalist novel by Émile Zola that explores pessimism, suffering, and resilience within a bourgeois family in provincial France.
  • D. La Chinoise
    La Chinoise is a 1967 French New Wave film by Jean-Luc Godard that satirically explores youthful Maoist radicalism in Paris on the eve of the 1968 student protests.
  • E. L’Artisan des Glaces
    L’Artisan des Glaces is a French-themed ice cream and sorbet shop in EPCOT known for its artisanal flavors and indulgent frozen treats.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f342e88190a430b02842ded418 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf7085b88190938c4eefa4380970 completed March 9, 2026, 12:39 p.m.
Created at: March 6, 2026, 9:43 p.m.