Triple

T20627666
Position Surface form Disambiguated ID Type / Status
Subject Yvonne Arnaud E506860 entity
Predicate familyName P18 FINISHED
Object Arnaud
Arnaud is a French surname borne by various notable individuals in fields such as the arts, politics, and sports.
 E1442238 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: Arnaud | Statement: [Yvonne Arnaud, familyName, Arnaud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arnaud
Context triple: [Yvonne Arnaud, familyName, Arnaud]
  • A. Arnaud
    Arnaud is a small commune located in Haiti’s Nippes Department.
  • B. Arnaud-Guilhem
    Arnaud-Guilhem is a small commune in southwestern France, located in the Haute-Garonne department in the Occitanie region.
  • C. Amaury
    Amaury is a masculine given name of French origin, historically borne by several medieval nobles and knights.
  • D. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • E. Hervé
    Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
  • 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: Arnaud
Triple: [Yvonne Arnaud, familyName, Arnaud]
Generated description
Arnaud is a French surname borne by various notable individuals in fields such as the arts, politics, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arnaud
Target entity description: Arnaud is a French surname borne by various notable individuals in fields such as the arts, politics, and sports.
  • A. Arnaud
    Arnaud is a small commune located in Haiti’s Nippes Department.
  • B. Arnaud-Guilhem
    Arnaud-Guilhem is a small commune in southwestern France, located in the Haute-Garonne department in the Occitanie region.
  • C. Amaury
    Amaury is a masculine given name of French origin, historically borne by several medieval nobles and knights.
  • D. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • E. Hervé
    Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
  • 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe645888190b639ebedc5b3041a completed April 20, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c583fb348190b5561a276f45bcf5 completed May 16, 2026, 7:29 p.m.
NEDg Description generation batch_6a08c6a2b42081909f1257ad57929c41 completed May 16, 2026, 7:33 p.m.
NED2 Entity disambiguation (via description) batch_6a08c7199bfc8190987839b3c1a4293e completed May 16, 2026, 7:35 p.m.
Created at: April 16, 2026, 11:42 a.m.