Triple
T3934778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georges Couthon |
E90882
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Couthon
Couthon is a French surname most notably associated with Georges Couthon, a prominent revolutionary figure during the French Revolution.
|
E403004
|
NE FINISHED |
How this triple was built (4 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: [Georges Couthon, familyName, Couthon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Couthon Context triple: [Georges Couthon, familyName, Couthon]
-
A.
Breuillet
Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
-
B.
Maurepas
Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
-
C.
Chénas
Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
-
D.
Pélissier
Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
-
E.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Couthon Triple: [Georges Couthon, familyName, Couthon]
Generated description
Couthon is a French surname most notably associated with Georges Couthon, a prominent revolutionary figure during the French Revolution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Couthon Target entity description: Couthon is a French surname most notably associated with Georges Couthon, a prominent revolutionary figure during the French Revolution.
-
A.
Breuillet
Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
-
B.
Maurepas
Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
-
C.
Chénas
Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
-
D.
Pélissier
Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
-
E.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
- F. None of above. chosen
Provenance (5 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcbf0188190a5e828707a77752a |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53ff373c081908e512ba2e65fc774 |
completed | March 14, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69b5408f70308190a3d3dce7651c47c9 |
completed | March 14, 2026, 11:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b540ef3f7081908eee34261b182670 |
completed | March 14, 2026, 11:05 a.m. |
Created at: March 9, 2026, 3:23 p.m.