Triple

T22274361
Position Surface form Disambiguated ID Type / Status
Subject Les Fantômes du chapelier E550562 entity
Predicate authorOfSourceWork P2353 FINISHED
Object Georges Simenon 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: Georges Simenon | Statement: [Les Fantômes du chapelier, authorOfSourceWork, Georges Simenon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georges Simenon
Context triple: [Les Fantômes du chapelier, authorOfSourceWork, Georges Simenon]
  • A. Georges Simenon chosen
    Georges Simenon was a prolific Belgian writer best known for creating the fictional detective Jules Maigret and for his numerous psychological novels.
  • B. John Simenon
    John Simenon is the son and literary estate manager of Belgian novelist Georges Simenon, overseeing and promoting his father's works.
  • C. Maxime Maufra
    Maxime Maufra was a French landscape and marine painter associated with the Pont-Aven School and known for his post-Impressionist style and vivid use of color.
  • D. Sébastien Japrisot
    Sébastien Japrisot was a French novelist, screenwriter, and director known for his intricate crime and war stories, several of which were adapted into acclaimed films.
  • E. Alban Préaubert
    Alban Préaubert is a French former competitive figure skater known for his strong jumping ability and multiple top-ten finishes at European and World Championships.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea643d48190985371d01aac7bfc completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.