Triple
T20019700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montagnards in the National Convention |
E494823
|
entity |
| Predicate | leader |
P981
|
FINISHED |
| Object | Couthon |
—
|
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: Couthon | Statement: [Montagnards in the National Convention, leader, Couthon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Couthon Context triple: [Montagnards in the National Convention, leader, Couthon]
-
A.
Couthon
chosen
Couthon is a French surname most notably associated with Georges Couthon, a prominent revolutionary figure during the French Revolution.
-
B.
Cressat
Cressat is a small rural commune in central France’s Creuse department, characterized by its agricultural landscape and traditional village setting.
-
C.
Bessières
Bessières is a French surname most notably borne by Jean-Baptiste Bessières, a Marshal of the Empire under Napoleon.
-
D.
Bessières
Bessières is a metro station on the Lausanne Métro network in Lausanne, Switzerland.
-
E.
Roquebillière
Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623f1598819097ad4fa392540901 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.