Triple

T10916474
Position Surface form Disambiguated ID Type / Status
Subject Number 9 Films E257835 entity
Predicate notableWork P4 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: [Number 9 Films, notableWork, Chocolat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chocolat
Context triple: [Number 9 Films, notableWork, 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. Chocolat
    Chocolat is a French biographical drama film depicting the life of Rafael Padilla, a formerly enslaved Afro-Cuban man who became France’s first Black circus clown in the late 19th century.
  • C. Le Gâteau
    Le Gâteau is one of the short prose poems in Charles Baudelaire’s collection *Le Spleen de Paris*, exemplifying his exploration of modern urban life and existential melancholy.
  • D. Babette
    Babette is a feminine given name, commonly used as a diminutive or variant of the name Barbara.
  • E. Boule de Suif
    Boule de Suif is a classic short story by French writer Guy de Maupassant that portrays a group of travelers during the Franco-Prussian War and explores themes of hypocrisy, class prejudice, and sacrifice.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7707deb608190903b1066e19600d3 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e216fca9f48190b02e8c13b8f428bf completed April 17, 2026, 11:18 a.m.
Created at: April 8, 2026, 9:22 p.m.