Triple

T23061844
Position Surface form Disambiguated ID Type / Status
Subject Pour elle E574922 entity
Predicate starring P1507 FINISHED
Object Olivier Marchal 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: Olivier Marchal | Statement: [Pour elle, starring, Olivier Marchal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivier Marchal
Context triple: [Pour elle, starring, Olivier Marchal]
  • A. Olivier Marchal chosen
    Olivier Marchal is a French filmmaker, screenwriter, and former police officer known for his gritty crime dramas in film and television.
  • B. Philippe Guédon
    Philippe Guédon is a French automotive engineer and designer best known for his influential work on innovative vehicles for Matra and later Renault.
  • C. Alain Macklovitch
    Alain Macklovitch is a Canadian DJ, turntablist, and record producer better known by his stage name A-Trak, recognized for his influential role in electronic and hip-hop music.
  • D. Jean-Paul Viguier
    Jean-Paul Viguier is a prominent French architect known for his contemporary urban projects and innovative public spaces.
  • E. Georges Conchon
    Georges Conchon was a French novelist and screenwriter known for his politically engaged works and for winning the Prix Goncourt in 1964.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1899ff96081908d89a07a3b1065c8 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.