Triple

T22307375
Position Surface form Disambiguated ID Type / Status
Subject Frédéric Bricout E551414 entity
Predicate familyName P18 FINISHED
Object Bricout
Bricout is a French surname borne by various individuals, including figures in politics, sports, and the arts.
 E1531899 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: Bricout | Statement: [Frédéric Bricout, familyName, Bricout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bricout
Context triple: [Frédéric Bricout, familyName, Bricout]
  • A. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • B. Couthon
    Couthon is a French surname most notably associated with Georges Couthon, a prominent revolutionary figure during the French Revolution.
  • C. Pélissier
    Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • D. Bessières
    Bessières is a French surname most notably borne by Jean-Baptiste Bessières, a Marshal of the Empire under Napoleon.
  • E. Bessières
    Bessières is a metro station on the Lausanne Métro network in Lausanne, 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: Bricout
Triple: [Frédéric Bricout, familyName, Bricout]
Generated description
Bricout is a French surname borne by various individuals, including figures in politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bricout
Target entity description: Bricout is a French surname borne by various individuals, including figures in politics, sports, and the arts.
  • A. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • B. Couthon
    Couthon is a French surname most notably associated with Georges Couthon, a prominent revolutionary figure during the French Revolution.
  • C. Pélissier
    Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • D. Bessières
    Bessières is a French surname most notably borne by Jean-Baptiste Bessières, a Marshal of the Empire under Napoleon.
  • E. Bessières
    Bessières is a metro station on the Lausanne Métro network in Lausanne, 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574bccb08190a6236dd14cf0fc5b completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae04fd650819093214960efe68ca1 completed May 18, 2026, 9:48 a.m.
NEDg Description generation batch_6a0ae1eccfd88190a128949db716d13a completed May 18, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0ae23d309c81909010681df12c8efb completed May 18, 2026, 9:56 a.m.
Created at: April 16, 2026, 8:41 p.m.