Triple

T21551880
Position Surface form Disambiguated ID Type / Status
Subject Sonia Bompastor E531781 entity
Predicate familyName P18 FINISHED
Object Bompastor
Bompastor is a French surname most notably associated with Sonia Bompastor, a former professional footballer and current football manager.
 E1490785 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: Bompastor | Statement: [Sonia Bompastor, familyName, Bompastor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bompastor
Context triple: [Sonia Bompastor, familyName, Bompastor]
  • A. Bompensiere
    Bompensiere is a small municipality in the central Sicilian region of Italy, known for its rural character and traditional local culture.
  • B. Boncassen
    Boncassen is the surname of an American academic family featured in Anthony Trollope’s novel "The Duke’s Children."
  • C. Pepusch
    Pepusch is a surname most notably associated with Johann Christoph Pepusch, a German-born Baroque composer who worked extensively in London.
  • D. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • E. Bomer
    Bomer is the surname of American actor Matt Bomer, known for his roles in television and film such as "White Collar" and "The Normal Heart."
  • 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: Bompastor
Triple: [Sonia Bompastor, familyName, Bompastor]
Generated description
Bompastor is a French surname most notably associated with Sonia Bompastor, a former professional footballer and current football manager.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bompastor
Target entity description: Bompastor is a French surname most notably associated with Sonia Bompastor, a former professional footballer and current football manager.
  • A. Bompensiere
    Bompensiere is a small municipality in the central Sicilian region of Italy, known for its rural character and traditional local culture.
  • B. Boncassen
    Boncassen is the surname of an American academic family featured in Anthony Trollope’s novel "The Duke’s Children."
  • C. Pepusch
    Pepusch is a surname most notably associated with Johann Christoph Pepusch, a German-born Baroque composer who worked extensively in London.
  • D. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • E. Bomer
    Bomer is the surname of American actor Matt Bomer, known for his roles in television and film such as "White Collar" and "The Normal Heart."
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb59375f481909d9e2b66d18c7c32 completed April 27, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eee3c6408190bf0873b01660612a completed May 17, 2026, 4:37 p.m.
NEDg Description generation batch_6a09ef7271e081908a1cd70297376ae3 completed May 17, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_6a09f00ec300819082ee644a512a9cdf completed May 17, 2026, 4:42 p.m.
Created at: April 16, 2026, 6:29 p.m.