Triple

T22292002
Position Surface form Disambiguated ID Type / Status
Subject Moulin Rouge (1952 film) E551020 entity
Predicate costumeDesignBy P184 FINISHED
Object Marcel Vertès 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: Marcel Vertès | Statement: [Moulin Rouge (1952 film), costumeDesignBy, Marcel Vertès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcel Vertès
Context triple: [Moulin Rouge (1952 film), costumeDesignBy, Marcel Vertès]
  • A. Marcel Vertès chosen
    Marcel Vertès was a Hungarian-born French illustrator and costume designer best known for his Academy Award-winning film costume work and stylish theatrical designs in the mid-20th century.
  • B. Vincent Delerm
    Vincent Delerm is a French singer-songwriter and pianist known for his literate, introspective chansons and theatrical pop arrangements.
  • C. Guy Dufaux
    Guy Dufaux is a Canadian cinematographer known for his work on numerous feature films and television productions, including the adaptation of "Barney's Version."
  • D. René Delcourt
    René Delcourt was an actor known for appearing in the 1930s British film "Two Tickets to London."
  • E. Marcel Tetu
    Marcel Tetu was a French military officer known for his leadership role in the Free French forces during World War II, particularly in the African campaigns.
  • 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1560d1ec48190ab86f158c94b677b completed April 29, 2026, 12:51 a.m.
Created at: April 16, 2026, 8:41 p.m.