Triple

T3585821
Position Surface form Disambiguated ID Type / Status
Subject Maxime Maufra E75905 entity
Predicate workedIn P1527 FINISHED
Object Pont-Aven E71314 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: Pont-Aven | Statement: [Maxime Maufra, workedIn, Pont-Aven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pont-Aven
Context triple: [Maxime Maufra, workedIn, Pont-Aven]
  • A. Pont-Aven chosen
    Pont-Aven is a picturesque commune in Brittany, France, renowned for inspiring 19th-century artists like Paul Gauguin and giving its name to the Pont-Aven School of painting.
  • B. Pontavenais
    Pontavenais is the French demonym for inhabitants of the town of Pont-Aven in Brittany.
  • C. Cap-d’Ail
    Cap-d’Ail is a coastal resort town on the French Riviera, bordering Monaco and known for its scenic beaches and Belle Époque villas.
  • D. Pont-Aven School
    The Pont-Aven School was a late 19th-century group of artists centered in Pont-Aven, Brittany, known for pioneering Synthetism and influencing Post-Impressionism through bold colors and simplified forms.
  • E. Pézenas
    Pézenas is a historic town in southern France’s Hérault department, known for its well-preserved medieval center and association with figures like Molière and the Prince de Conti.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc135ee3481908ef8dc41af632710 completed March 8, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402fcc5f481909c66319f75a8dc85 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:22 p.m.