Triple

T5743117
Position Surface form Disambiguated ID Type / Status
Subject Lasse Hallström E126661 entity
Predicate directedFilm P13455 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: [Lasse Hallström, directedFilm, Chocolat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chocolat
Context triple: [Lasse Hallström, directedFilm, 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. 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.
  • C. Babette
    Babette is a feminine given name, commonly used as a diminutive or variant of the name Barbara.
  • D. La Bonne Mère
    La Bonne Mère is the affectionate local nickname for Marseille’s hilltop basilica Notre-Dame de la Garde, a major Catholic sanctuary and emblematic symbol of the city watching over its harbor.
  • E. Les Sœurs Vatard
    Les Sœurs Vatard is a naturalist novel by Joris-Karl Huysmans that portrays the lives and struggles of two working-class sisters in late 19th-century Paris.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025852a2c819080521e5b98c00bdc completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097f9b6e08190bb68ea850ba813ff completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:48 p.m.