Triple

T17012434
Position Surface form Disambiguated ID Type / Status
Subject Come What May E412732 entity
Predicate associatedCharacter P12208 FINISHED
Object Satine (Moulin Rouge!) E412729 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: Satine (Moulin Rouge!) | Statement: [Come What May, associatedCharacter, Satine (Moulin Rouge!)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satine (Moulin Rouge!)
Context triple: [Come What May, associatedCharacter, Satine (Moulin Rouge!)]
  • A. Satine chosen
    Satine is the glamorous star courtesan and tragic heroine at the heart of the romantic story in Moulin Rouge! The Musical.
  • B. Adèle Varens
    Adèle Varens is a lively French child in Charlotte Brontë’s novel "Jane Eyre," known as Mr. Rochester’s ward and Jane’s young pupil at Thornfield Hall.
  • C. Gisèle
    Gisèle is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • D. Renée Adorée
    Renée Adorée was a French-born silent film actress best known for her acclaimed role in the World War I drama "The Big Parade" (1925).
  • E. Margaux
    Margaux is a prestigious Bordeaux wine appellation in the Médoc region of France, renowned for its elegant, aromatic red wines and several classified growth châteaux.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47cc17c819087f7bd27582bcbfa completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148222034819089474594ee351b05 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:33 a.m.