Triple

T10680434
Position Surface form Disambiguated ID Type / Status
Subject Priscilla Bonner E251735 entity
Predicate familyName P18 FINISHED
Object Bonner
Bonner is a surname shared by various notable individuals across fields such as politics, sports, science, and the arts.
 E637067 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: Bonner | Statement: [Priscilla Bonner, familyName, Bonner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bonner
Context triple: [Priscilla Bonner, familyName, Bonner]
  • A. Bonner
    Bonner is a residential suburb in the Gungahlin district of Canberra, Australian Capital Territory.
  • B. Boerne
    Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
  • C. Bivins
    Bivins is a surname most notably associated with Michael Bivins, an American singer, rapper, and music executive known for his work with New Edition and Bell Biv DeVoe.
  • D. Bonger
    Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
  • E. Banagher
    Banagher is a small Irish town in County Offaly known for its historic bridge over the River Shannon and its traditional boating and angling activities.
  • 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: Bonner
Triple: [Priscilla Bonner, familyName, Bonner]
Generated description
Bonner is a surname shared by various notable individuals across fields such as politics, sports, science, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bonner
Target entity description: Bonner is a surname shared by various notable individuals across fields such as politics, sports, science, and the arts.
  • A. Bonner chosen
    Bonner is a residential suburb in the Gungahlin district of Canberra, Australian Capital Territory.
  • B. Boerne
    Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
  • C. Bivins
    Bivins is a surname most notably associated with Michael Bivins, an American singer, rapper, and music executive known for his work with New Edition and Bell Biv DeVoe.
  • D. Bonger
    Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
  • E. Banagher
    Banagher is a small Irish town in County Offaly known for its historic bridge over the River Shannon and its traditional boating and angling activities.
  • F. None of above.

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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc1b8d4819082fde22db39d8b24 completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d98885abf88190b54ed9db779d3ff0 completed April 10, 2026, 11:32 p.m.
NEDg Description generation batch_69d98aea391c81909ec64a29053c35c1 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c013348819094bde38a057257b4 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:10 p.m.