Triple

T18623960
Position Surface form Disambiguated ID Type / Status
Subject Pierre-Gaspard Chaumette E455229 entity
Predicate familyName P18 FINISHED
Object Chaumette
Chaumette is a French surname most notably associated with Pierre-Gaspard Chaumette, a radical political figure of the French Revolution.
 E1334272 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: Chaumette | Statement: [Pierre-Gaspard Chaumette, familyName, Chaumette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chaumette
Context triple: [Pierre-Gaspard Chaumette, familyName, Chaumette]
  • A. Saint-Just
    Saint-Just is a historic district in Lyon, France, known for its hillside location above the Saône River and its connection to the city center by funicular.
  • B. Le Fayet
    Le Fayet is a village in the French Alps that serves as a gateway and lower terminus for the historic Tramway du Mont-Blanc mountain railway.
  • C. Boizel
    Boizel is a historic Champagne producer renowned for its elegant, terroir-driven sparkling wines crafted in Épernay, France.
  • D. Racamier
    Racamier is a French surname most notably borne by Henri Racamier, the businessman who transformed Louis Vuitton into a global luxury brand.
  • E. Gagnière
    Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
  • 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: Chaumette
Triple: [Pierre-Gaspard Chaumette, familyName, Chaumette]
Generated description
Chaumette is a French surname most notably associated with Pierre-Gaspard Chaumette, a radical political figure of the French Revolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chaumette
Target entity description: Chaumette is a French surname most notably associated with Pierre-Gaspard Chaumette, a radical political figure of the French Revolution.
  • A. Saint-Just
    Saint-Just is a historic district in Lyon, France, known for its hillside location above the Saône River and its connection to the city center by funicular.
  • B. Le Fayet
    Le Fayet is a village in the French Alps that serves as a gateway and lower terminus for the historic Tramway du Mont-Blanc mountain railway.
  • C. Boizel
    Boizel is a historic Champagne producer renowned for its elegant, terroir-driven sparkling wines crafted in Épernay, France.
  • D. Racamier
    Racamier is a French surname most notably borne by Henri Racamier, the businessman who transformed Louis Vuitton into a global luxury brand.
  • E. Gagnière
    Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f02dc248190a82341eeb2473593 completed April 19, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d78359c8190bba366871b5ef4e4 completed May 13, 2026, 11:47 p.m.
NEDg Description generation batch_6a050e224e4881908ad55301bda567dc completed May 13, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_6a050ecc33e48190bc28430a6a771492 completed May 13, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:46 a.m.