Triple

T16510384
Position Surface form Disambiguated ID Type / Status
Subject Anne Lauvergeon E401044 entity
Predicate familyName P18 FINISHED
Object Lauvergeon
Lauvergeon is the surname of Anne Lauvergeon, a prominent French business executive best known for leading the nuclear energy company Areva.
 E1225746 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: Lauvergeon | Statement: [Anne Lauvergeon, familyName, Lauvergeon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lauvergeon
Context triple: [Anne Lauvergeon, familyName, Lauvergeon]
  • A. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • B. 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."
  • C. Bévilard
    Bévilard is a village in the Bernese Jura region of the canton of Bern in Switzerland.
  • D. Laveissière
    Laveissière is a small commune in the Cantal department of south-central France, situated in the mountainous Auvergne region.
  • E. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • 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: Lauvergeon
Triple: [Anne Lauvergeon, familyName, Lauvergeon]
Generated description
Lauvergeon is the surname of Anne Lauvergeon, a prominent French business executive best known for leading the nuclear energy company Areva.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lauvergeon
Target entity description: Lauvergeon is the surname of Anne Lauvergeon, a prominent French business executive best known for leading the nuclear energy company Areva.
  • A. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • B. 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."
  • C. Bévilard
    Bévilard is a village in the Bernese Jura region of the canton of Bern in Switzerland.
  • D. Laveissière
    Laveissière is a small commune in the Cantal department of south-central France, situated in the mountainous Auvergne region.
  • E. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e54f7508190804bbae4c9bc8fe3 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084ac013c81909ce7055de4f12e58 completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a008558218c8190b0e72356ae52afd2 completed May 10, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_6a008624706881909e9a265a37eeb3fc completed May 10, 2026, 1:20 p.m.
Created at: April 10, 2026, 5:14 a.m.