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.