Triple

T22234572
Position Surface form Disambiguated ID Type / Status
Subject Cimiez Cemetery E549556 entity
Predicate hasNotableBurial P196 FINISHED
Object Fernand Léger 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: Fernand Léger | Statement: [Cimiez Cemetery, hasNotableBurial, Fernand Léger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fernand Léger
Context triple: [Cimiez Cemetery, hasNotableBurial, Fernand Léger]
  • A. Fernand Léger chosen
    Fernand Léger was a French painter and sculptor known for his bold, mechanistic style and pioneering role in the development of Cubism and modern art.
  • B. Claude Léger
    Claude Léger is a film producer known for his work on the thriller movie "Shut In."
  • C. Robert Léger
    Robert Léger is a Canadian film producer known for his work on the 2011 film "Anonymous."
  • D. Albert Gleizes
    Albert Gleizes was a pioneering French painter, theorist, and writer who played a key role in developing and promoting Cubism in the early 20th century.
  • E. Robert Delaunay
    Robert Delaunay was a French painter known for pioneering Orphism, an offshoot of Cubism that emphasized vibrant color and abstract, rhythmic compositions.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf61504819093e70bee4c575d1c completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:38 p.m.