Triple

T10647811
Position Surface form Disambiguated ID Type / Status
Subject Braquo E250881 entity
Predicate writer P1360 FINISHED
Object Olivier Marchal E878221 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: Olivier Marchal | Statement: [Braquo, writer, Olivier Marchal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivier Marchal
Context triple: [Braquo, writer, 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. 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.
  • C. Jean-Paul Viguier
    Jean-Paul Viguier is a prominent French architect known for his contemporary urban projects and innovative public spaces.
  • D. Georges Conchon
    Georges Conchon was a French novelist and screenwriter known for his politically engaged works and for winning the Prix Goncourt in 1964.
  • E. André Thirion
    André Thirion was a French writer, political activist, and prominent member of the Parisian Surrealist movement in the early 20th century.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe29b8081908eb13637e0475ba1 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d998af75588190bb9bb749460c5766 completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:05 p.m.