Triple
T3736437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Filiger |
E79596
|
entity |
| Predicate | associatedWith |
P37
|
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: [Charles Filiger, associatedWith, Pont-Aven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pont-Aven Context triple: [Charles Filiger, associatedWith, 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb3d32b081909a993a78b0869db8 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db1e4cc48190bfc1078e9b06d2d9 |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:34 p.m.