Triple
T22016844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles de Bonchamps |
E543734
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | de Bonchamps |
—
|
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: de Bonchamps | Statement: [Charles de Bonchamps, familyName, de Bonchamps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Bonchamps Context triple: [Charles de Bonchamps, familyName, de Bonchamps]
-
A.
de Chamaillard
De Chamaillard is a French surname associated with individuals such as Henri de Chamaillard.
-
B.
de Bleschamp
De Bleschamp is a French noble family name historically associated with Alexandrine de Bleschamp, the second wife of Lucien Bonaparte.
-
C.
Pierre-Buffière
Pierre-Buffière is a small commune in west-central France, located in the Haute-Vienne department within the Nouvelle-Aquitaine region.
-
D.
Charles Dechamps
Charles Dechamps was a French actor known for his roles in early 20th-century cinema and theater.
-
E.
Charles de Bonchamps
chosen
Charles de Bonchamps was a prominent royalist general and nobleman who led Catholic insurgent forces during the French Revolution’s War in the Vendée and became renowned for his chivalry and clemency.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a8a1388190b9e0c1795fe1183a |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:23 p.m.