Triple

T7280180
Position Surface form Disambiguated ID Type / Status
Subject Le Breton E163126 entity
Predicate hasVariant P455 FINISHED
Object Lebreton
Lebreton is a French surname, often a variant of "Le Breton," historically denoting someone from Brittany (Bretagne) in France.
 E654030 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: Lebreton | Statement: [Le Breton, hasVariant, Lebreton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lebreton
Context triple: [Le Breton, hasVariant, Lebreton]
  • A. Houyet
    Houyet is a rural municipality in the province of Namur, Belgium, known for its forests, castles, and location along the Lesse River.
  • B. Reville
    Reville is an English surname most notably associated with Alma Reville, a film editor and screenwriter who collaborated closely with her husband, director Alfred Hitchcock.
  • C. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • D. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • E. Brévent
    Brévent is a prominent mountain and viewpoint in the French Alps overlooking the Chamonix valley and offering panoramic views of the Mont Blanc massif.
  • 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: Lebreton
Triple: [Le Breton, hasVariant, Lebreton]
Generated description
Lebreton is a French surname, often a variant of "Le Breton," historically denoting someone from Brittany (Bretagne) in France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lebreton
Target entity description: Lebreton is a French surname, often a variant of "Le Breton," historically denoting someone from Brittany (Bretagne) in France.
  • A. Houyet
    Houyet is a rural municipality in the province of Namur, Belgium, known for its forests, castles, and location along the Lesse River.
  • B. Reville
    Reville is an English surname most notably associated with Alma Reville, a film editor and screenwriter who collaborated closely with her husband, director Alfred Hitchcock.
  • C. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • D. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • E. Brévent
    Brévent is a prominent mountain and viewpoint in the French Alps overlooking the Chamonix valley and offering panoramic views of the Mont Blanc massif.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb339b1081909f648864e210f98e completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db379e1c81908ebd4c44504ce5fb completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7df4788e081908ccc162125c6550d completed March 28, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69c7dfa826d081909129df80cca13daa completed March 28, 2026, 2:03 p.m.
Created at: March 27, 2026, 2:59 p.m.