Triple

T21945694
Position Surface form Disambiguated ID Type / Status
Subject Hugh O'Conor E541926 entity
Predicate notableWork P4 FINISHED
Object Chocolat NE NERFINISHED

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: [Hugh O'Conor, notableWork, Chocolat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chocolat
Context triple: [Hugh O'Conor, 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. Chocolaté
    "Chocolaté" is a track from the rhythm game Day69: Graduation Day, known for its upbeat tempo and catchy, game-style electronic sound.
  • D. 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.
  • E. La Belle Chocolatière
    La Belle Chocolatière is the French title of Jean-Étienne Liotard’s famous 18th-century pastel painting depicting a young maid serving a cup of chocolate.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12427c2b48190949c41bd3be2d9f3 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:57 p.m.