Triple

T10300270
Position Surface form Disambiguated ID Type / Status
Subject Tony Robert-Fleury E241608 entity
Predicate notableStudent P4838 FINISHED
Object Henri Gervex E226744 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: Henri Gervex | Statement: [Tony Robert-Fleury, notableStudent, Henri Gervex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henri Gervex
Context triple: [Tony Robert-Fleury, notableStudent, Henri Gervex]
  • A. Henri Gervex chosen
    Henri Gervex was a prominent late 19th-century French painter associated with academic and modern life subjects, known for works that bridged traditional academic art and emerging avant-garde trends.
  • B. Louis Gohier
    Louis Gohier was a French lawyer and politician who served as a member of the French Directory during the late stages of the French Revolution.
  • C. Georges Géret
    Georges Géret was a French character actor known for his intense performances in numerous European films from the 1960s through the 1980s.
  • D. Henri Le Fauconnier
    Henri Le Fauconnier was a French painter associated with early Cubism, known for his role in the avant-garde Paris art scene and contributions to the development of modernist painting.
  • E. Jean Béraud
    Jean Béraud was a French painter renowned for his detailed and lively depictions of Parisian life during the Belle Époque.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2eefe8881908a672c4dca7657ca completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7501f76e081908a7509a877c72b82 completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:44 a.m.