Triple

T8958154
Position Surface form Disambiguated ID Type / Status
Subject Armand Gensonné E213528 entity
Predicate familyName P18 FINISHED
Object Gensonné
Gensonné is a French surname most notably associated with Armand Gensonné, a prominent Girondin politician during the French Revolution.
 E769703 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: Gensonné | Statement: [Armand Gensonné, familyName, Gensonné]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gensonné
Context triple: [Armand Gensonné, familyName, Gensonné]
  • A. Guérard
    Guérard is a small commune in the Seine-et-Marne department in north-central France, known for its rural character and proximity to the Paris metropolitan area.
  • B. Dugommier
    Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
  • C. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • D. Bongrand
    Bongrand is a fictional character in Émile Zola’s novel *L’Œuvre*, depicted as an older, established painter who contrasts with the avant-garde ambitions of the protagonist.
  • E. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • 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: Gensonné
Triple: [Armand Gensonné, familyName, Gensonné]
Generated description
Gensonné is a French surname most notably associated with Armand Gensonné, a prominent Girondin politician during the French Revolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gensonné
Target entity description: Gensonné is a French surname most notably associated with Armand Gensonné, a prominent Girondin politician during the French Revolution.
  • A. Guérard
    Guérard is a small commune in the Seine-et-Marne department in north-central France, known for its rural character and proximity to the Paris metropolitan area.
  • B. Dugommier
    Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
  • C. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • D. Bongrand
    Bongrand is a fictional character in Émile Zola’s novel *L’Œuvre*, depicted as an older, established painter who contrasts with the avant-garde ambitions of the protagonist.
  • E. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6729ab7c8190a6168f0aa70a5520 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9430a8c819096e0df38c107d1bd completed April 3, 2026, 2:05 p.m.
NEDg Description generation batch_69cfcaabe06481908e4a1a20dc16906e completed April 3, 2026, 2:11 p.m.
NED2 Entity disambiguation (via description) batch_69cfcb5d2be48190847967325f4c8f03 completed April 3, 2026, 2:14 p.m.
Created at: March 30, 2026, 7 p.m.