Triple

T17309964
Position Surface form Disambiguated ID Type / Status
Subject Léon Vaudoyer E420268 entity
Predicate familyName P18 FINISHED
Object Vaudoyer
Vaudoyer is a French surname most notably associated with the 19th-century architect Léon Vaudoyer.
 E1261389 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: Vaudoyer | Statement: [Léon Vaudoyer, familyName, Vaudoyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vaudoyer
Context triple: [Léon Vaudoyer, familyName, Vaudoyer]
  • A. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • B. Valadier
    Valadier is an Italian surname most notably associated with Giuseppe Valadier, a prominent neoclassical architect and urban planner of the late 18th and early 19th centuries.
  • C. Vaugier
    Vaugier is the surname of Emmanuelle Vaugier, a Canadian actress and model known for roles in television series such as "Two and a Half Men" and "Smallville."
  • D. Lauvergeon
    Lauvergeon is the surname of Anne Lauvergeon, a prominent French business executive best known for leading the nuclear energy company Areva.
  • E. Sorvilier
    Sorvilier is a small municipality in the French-speaking Bernese Jura region of the canton of Bern in Switzerland.
  • 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: Vaudoyer
Triple: [Léon Vaudoyer, familyName, Vaudoyer]
Generated description
Vaudoyer is a French surname most notably associated with the 19th-century architect Léon Vaudoyer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vaudoyer
Target entity description: Vaudoyer is a French surname most notably associated with the 19th-century architect Léon Vaudoyer.
  • A. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • B. Valadier
    Valadier is an Italian surname most notably associated with Giuseppe Valadier, a prominent neoclassical architect and urban planner of the late 18th and early 19th centuries.
  • C. Vaugier
    Vaugier is the surname of Emmanuelle Vaugier, a Canadian actress and model known for roles in television series such as "Two and a Half Men" and "Smallville."
  • D. Lauvergeon
    Lauvergeon is the surname of Anne Lauvergeon, a prominent French business executive best known for leading the nuclear energy company Areva.
  • E. Sorvilier
    Sorvilier is a small municipality in the French-speaking Bernese Jura region of the canton of Bern in Switzerland.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439970cf08190bc9e49ba830da0d9 completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e5043081908f31c2434e9b9647 completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a0182e466e8819096f61fb74d4147c5 completed May 11, 2026, 7:19 a.m.
NED2 Entity disambiguation (via description) batch_6a01840ddbb08190a542faba4ca26e5a completed May 11, 2026, 7:23 a.m.
Created at: April 10, 2026, 5:43 a.m.