Triple
T12441865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léon Bonnat |
E297292
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bonnat |
E297292
|
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: Bonnat | Statement: [Léon Bonnat, familyName, Bonnat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonnat Context triple: [Léon Bonnat, familyName, Bonnat]
-
A.
Bonnat
chosen
Bonnat is a French surname most notably associated with the 19th-century painter Léon Bonnat.
-
B.
Bazille
Bazille is a French surname most notably associated with the 19th-century Impressionist painter Frédéric Bazille.
-
C.
Oudry
Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
-
D.
Louvet de Couvrai
Louvet de Couvrai was a French novelist, journalist, and revolutionary politician best known for his radical republicanism during the French Revolution and his membership in the Girondin faction.
-
E.
Dubouzet
Dubouzet is the namesake of Cape Dubouzet, a geographic feature likely honoring a historical figure such as an explorer, naval officer, or cartographer.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8ecb6c8190a19cbf9de31cabbd |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f0ea1e48190a11cf94797290156 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.