Triple

T14189357
Position Surface form Disambiguated ID Type / Status
Subject Jules Lefebvre E351666 entity
Predicate studiedUnder P7251 FINISHED
Object Léon Cogniet 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: Léon Cogniet | Statement: [Jules Lefebvre, studiedUnder, Léon Cogniet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Léon Cogniet
Context triple: [Jules Lefebvre, studiedUnder, Léon Cogniet]
  • A. Léon Cogniet chosen
    Léon Cogniet was a 19th-century French painter and influential art teacher associated with the Parisian academic tradition.
  • B. Guy-Victor Duperré
    Guy-Victor Duperré was a prominent 19th-century French naval officer who rose to the highest ranks of the French Navy and played key roles in the Napoleonic Wars and French colonial campaigns.
  • C. Théodore Ballu
    Théodore Ballu was a 19th-century French architect best known for designing several prominent Parisian churches and public buildings in an eclectic historicist style.
  • D. Léon Millot
    Léon Millot is a red hybrid wine grape variety, widely grown in cooler climates for its early ripening and disease resistance, often producing deeply colored, fruity wines.
  • E. Armand Petitjean
    Armand Petitjean was a French perfumer and entrepreneur best known for creating the luxury cosmetics and fragrance brand Lancôme in the 1930s.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61de509881908967ef5031f2a8d9 completed April 14, 2026, 3:48 p.m.
Created at: April 10, 2026, 1:03 a.m.