Triple

T10073166
Position Surface form Disambiguated ID Type / Status
Subject Vaslav Nijinsky E213677 entity
Predicate collaboratedWith P435 FINISHED
Object Maurice Ravel E41279 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: Maurice Ravel | Statement: [Vaslav Nijinsky, collaboratedWith, Maurice Ravel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maurice Ravel
Context triple: [Vaslav Nijinsky, collaboratedWith, Maurice Ravel]
  • A. Maurice Ravel chosen
    Maurice Ravel was a French composer of the late Romantic and early modern eras, renowned for his masterful orchestration and works such as Boléro and Daphnis et Chloé.
  • B. Jean Ravel
    Jean Ravel is a French film editor best known for his work on Chris Marker’s influential science-fiction short film "La Jetée."
  • C. Ravel
    Ravel is a crew member aboard the USCSS Prometheus in the science fiction universe of the film "Prometheus."
  • D. Albert Roussel
    Albert Roussel was a French composer of the early 20th century known for his distinctive blend of impressionism and neoclassicism in orchestral, chamber, and ballet music.
  • E. Francis Poulenc
    Francis Poulenc was a 20th-century French composer and member of the group Les Six, known for his distinctive blend of lyricism, wit, and emotional depth in both vocal and instrumental music.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd013c9d0819091ebe6fc399832de completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b649b7488190ad765d4ee6eac5d7 completed April 5, 2026, 7:21 p.m.
Created at: March 30, 2026, 8:59 p.m.