Triple
T6258685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Baptiste Kléber |
E140239
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jean-Baptiste Kléber |
E140239
|
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: Jean-Baptiste Kléber | Statement: [Jean-Baptiste Kléber, name, Jean-Baptiste Kléber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Baptiste Kléber Context triple: [Jean-Baptiste Kléber, name, Jean-Baptiste Kléber]
-
A.
Jean-Baptiste Kléber
chosen
Jean-Baptiste Kléber was a prominent French general of the Revolutionary Wars, noted for his military skill in campaigns across Europe and the Middle East.
-
B.
Kléber
Kléber is a French tire brand known for producing mid-range, reliable tires for passenger cars and light commercial vehicles.
-
C.
Jean Lannes
Jean Lannes was a prominent French marshal of the Napoleonic Wars, renowned for his aggressive leadership and key role in many of Napoleon’s major victories.
-
D.
Jean-Baptiste Jourdan
Jean-Baptiste Jourdan was a prominent French Revolutionary general and later Marshal of France, noted for his key victories against coalition forces during the Revolutionary Wars.
-
E.
Jean Murat
Jean Murat was a French film actor known for his roles in early 20th-century cinema and his marriage to actress Annabella.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06367e0b48190967ebfb9bfbc9732 |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2443f0cb88190a32968fce0214045 |
completed | March 24, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:24 p.m.