Triple

T13840929
Position Surface form Disambiguated ID Type / Status
Subject Alain Bernardin E332652 entity
Predicate name P16 FINISHED
Object Alain Bernardin E332652 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: Alain Bernardin | Statement: [Alain Bernardin, name, Alain Bernardin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alain Bernardin
Context triple: [Alain Bernardin, name, Alain Bernardin]
  • A. Alain Bernardin chosen
    Alain Bernardin was a French impresario and nightclub owner best known for creating the iconic Parisian cabaret Crazy Horse, famed for its avant-garde nude dance performances.
  • B. Jean-Pierre Duprey
    Jean-Pierre Duprey was a French surrealist poet, sculptor, and painter associated with the postwar Surrealist movement in Paris.
  • C. Michel Bizot
    Michel Bizot is a Paris Métro station in the 12th arrondissement, named after the 19th-century French general Michel Brice Bizot.
  • D. Allen Daviau
    Allen Daviau was an acclaimed American cinematographer best known for his visually rich collaborations with director Steven Spielberg on films such as E.T. the Extra-Terrestrial.
  • E. Michel Bouvier
    Michel Bouvier is a biochemist and entrepreneur known for his pioneering work on G protein–coupled receptors (GPCRs) and for co-founding innovative drug discovery companies.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ae5e4c8190ad85ad2968bc71b2 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c7062f548190a6a8d06ef2eefc9f completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:13 p.m.