Triple

T22410543
Position Surface form Disambiguated ID Type / Status
Subject Dave Lombardo E553982 entity
Predicate associatedAct P37 FINISHED
Object Fantômas 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: Fantômas | Statement: [Dave Lombardo, associatedAct, Fantômas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fantômas
Context triple: [Dave Lombardo, associatedAct, Fantômas]
  • A. Fantômas chosen
    Fantômas is a fictional master criminal and master of disguise from early 20th-century French crime literature, later popularized in film and other media.
  • B. Docteur Petiot
    Docteur Petiot is a 1990 French crime drama film in which Michel Serrault portrays the infamous real-life serial killer Dr. Marcel Petiot.
  • C. Rue Morgue
    Rue Morgue is a fictional Parisian street best known as the eerie setting of Edgar Allan Poe’s pioneering detective story “The Murders in the Rue Morgue.”
  • D. Les Mystères de Paris
    Les Mystères de Paris is a French film adaptation of Eugène Sue’s classic 19th-century serialized novel, known for its melodramatic depiction of Parisian underworld life.
  • E. Les Films du Grand Guignol
    Les Films du Grand Guignol was a French film production company active in the 1930s, known for backing works by prominent filmmakers such as Jean Renoir.
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15942edb081909869ae013ea72f09 completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.