Triple

T20234145
Position Surface form Disambiguated ID Type / Status
Subject The Perfume of the Lady in Black (1931 film) E495604 entity
Predicate authorOfSourceWork P2353 FINISHED
Object Gaston Leroux 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: Gaston Leroux | Statement: [The Perfume of the Lady in Black (1931 film), authorOfSourceWork, Gaston Leroux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaston Leroux
Context triple: [The Perfume of the Lady in Black (1931 film), authorOfSourceWork, Gaston Leroux]
  • A. Gaston Leroux chosen
    Gaston Leroux was a French journalist and novelist best known as the author of the classic mystery novel "The Phantom of the Opera."
  • B. Victorien Sardou
    Victorien Sardou was a 19th-century French dramatist best known for his popular stage melodramas, including the play that inspired Puccini’s opera "Tosca."
  • C. Georges d’Anthès
    Georges d’Anthès was a French officer in the Russian Imperial service best known for fatally wounding the poet Alexander Pushkin in a duel.
  • D. Léo Taxil
    Léo Taxil was a 19th-century French writer and notorious hoaxer best known for his elaborate anti-Masonic and anti-Catholic frauds.
  • E. Pierre Veber
    Pierre Veber was a French playwright and journalist known for his light comedies and contributions to early 20th-century Parisian theater.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e67167fae88190a26ff10d698174f8 completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.