Triple

T23059693
Position Surface form Disambiguated ID Type / Status
Subject Keefe Brasselle E574262 entity
Predicate familyName P18 FINISHED
Object Brasselle
Brasselle is a surname most notably associated with American actor and author Keefe Brasselle.
E1569987 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: Brasselle | Statement: [Keefe Brasselle, familyName, Brasselle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brasselle
Context triple: [Keefe Brasselle, familyName, Brasselle]
  • A. Bridoré
    Bridoré is a small commune in central France’s Indre-et-Loire department, known for its rural character and historic château.
  • B. Braux
    Braux is a small commune in the Aube department of north-central France, situated within the Grand Est region.
  • C. La Brague
    La Brague is a small river in southeastern France that flows through the Alpes-Maritimes department and is known for the natural park and walking trails along its banks.
  • D. Dagneux
    Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
  • E. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • 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: Brasselle
Triple: [Keefe Brasselle, familyName, Brasselle]
Generated description
Brasselle is a surname most notably associated with American actor and author Keefe Brasselle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brasselle
Target entity description: Brasselle is a surname most notably associated with American actor and author Keefe Brasselle.
  • A. Bridoré
    Bridoré is a small commune in central France’s Indre-et-Loire department, known for its rural character and historic château.
  • B. Braux
    Braux is a small commune in the Aube department of north-central France, situated within the Grand Est region.
  • C. La Brague
    La Brague is a small river in southeastern France that flows through the Alpes-Maritimes department and is known for the natural park and walking trails along its banks.
  • D. Dagneux
    Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
  • E. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1899f359081909e89e19db3833a3d completed April 29, 2026, 4:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15a3dfc481909f055d10c263591d completed May 19, 2026, 7:47 a.m.
NEDg Description generation batch_6a0c161cdc3c8190b9695b9c27c743ff completed May 19, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c16c73140819088d46d4e8b03c7a4 completed May 19, 2026, 7:52 a.m.
Created at: April 17, 2026, 3:55 p.m.