Triple

T21173631
Position Surface form Disambiguated ID Type / Status
Subject François de Charette E521751 entity
Predicate placeOfBirth P1 FINISHED
Object Couffé
Couffé is a small commune in western France’s Loire-Atlantique department, known as the birthplace of the royalist military leader François de Charette.
 E1470154 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: Couffé | Statement: [François de Charette, placeOfBirth, Couffé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Couffé
Context triple: [François de Charette, placeOfBirth, Couffé]
  • A. Gagnière
    Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
  • B. Lugrin
    Lugrin is a commune in eastern France on the southern shore of Lake Geneva, known historically as one of the sites where the Évian Accords negotiations took place.
  • C. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • D. Boucicaut
    Boucicaut is a station on the Paris Métro serving the 15th arrondissement of Paris.
  • E. Beauseant
    Beauseant is a scheming aristocrat and one of the principal antagonists in Edward Bulwer-Lytton’s romantic drama "The Lady of Lyons."
  • 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: Couffé
Triple: [François de Charette, placeOfBirth, Couffé]
Generated description
Couffé is a small commune in western France’s Loire-Atlantique department, known as the birthplace of the royalist military leader François de Charette.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Couffé
Target entity description: Couffé is a small commune in western France’s Loire-Atlantique department, known as the birthplace of the royalist military leader François de Charette.
  • A. Gagnière
    Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
  • B. Lugrin
    Lugrin is a commune in eastern France on the southern shore of Lake Geneva, known historically as one of the sites where the Évian Accords negotiations took place.
  • C. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • D. Boucicaut
    Boucicaut is a station on the Paris Métro serving the 15th arrondissement of Paris.
  • E. Beauseant
    Beauseant is a scheming aristocrat and one of the principal antagonists in Edward Bulwer-Lytton’s romantic drama "The Lady of Lyons."
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72714d3f48190871c5e35c3887d7f completed April 21, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09757599708190b03ebb61a54b0c2a completed May 17, 2026, 7:59 a.m.
NEDg Description generation batch_6a097664811c81908e9bb1dfcf88b042 completed May 17, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0978130b1481909e7a7c7a43f82c15 completed May 17, 2026, 8:10 a.m.
Created at: April 16, 2026, 3 p.m.