Triple

T5847880
Position Surface form Disambiguated ID Type / Status
Subject Neil Bonnett E129756 entity
Predicate familyName P18 FINISHED
Object Bonnett
Bonnett is a surname most notably associated with American NASCAR driver Neil Bonnett.
 E549777 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: Bonnett | Statement: [Neil Bonnett, familyName, Bonnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bonnett
Context triple: [Neil Bonnett, familyName, Bonnett]
  • A. Coxen
    Coxen is a surname variant of Cox, typically of English origin.
  • B. Bassett
    Bassett is the surname of acclaimed American actress and director Angela Bassett, known for her powerful performances in film and television.
  • C. Bonnell
    Bonnell is the microarchitecture that underpinned Intel's first-generation Atom processors, designed for low-power, energy-efficient computing in mobile and embedded devices.
  • D. Boontling
    Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
  • E. Barkly
    Barkly is a vast electoral division in Australia's Northern Territory, encompassing remote outback communities and pastoral regions including the Tennant Creek area.
  • 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: Bonnett
Triple: [Neil Bonnett, familyName, Bonnett]
Generated description
Bonnett is a surname most notably associated with American NASCAR driver Neil Bonnett.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bonnett
Target entity description: Bonnett is a surname most notably associated with American NASCAR driver Neil Bonnett.
  • A. Coxen
    Coxen is a surname variant of Cox, typically of English origin.
  • B. Bassett
    Bassett is the surname of acclaimed American actress and director Angela Bassett, known for her powerful performances in film and television.
  • C. Bonnell
    Bonnell is the microarchitecture that underpinned Intel's first-generation Atom processors, designed for low-power, energy-efficient computing in mobile and embedded devices.
  • D. Boontling
    Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
  • E. Barkly
    Barkly is a vast electoral division in Australia's Northern Territory, encompassing remote outback communities and pastoral regions including the Tennant Creek area.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03512d3548190920ac882189500d9 completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1ad4d888190b4a1e605887b2e2c completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a27765688190b02a1b0cd39a87fe completed March 23, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69c0a2fd7ec081909033994e5556a6ae completed March 23, 2026, 2:18 a.m.
Created at: March 22, 2026, 3:55 p.m.