Triple

T18829953
Position Surface form Disambiguated ID Type / Status
Subject Jo Bonner E460497 entity
Predicate familyName P18 FINISHED
Object Bonner
Bonner is a surname shared by various notable individuals across fields such as politics, sports, and the arts.
E1343747 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: [Jo Bonner, familyName, Bonner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonner
Context triple: [Jo Bonner, familyName, Bonner]
  • A. Bonner
    Bonner is a residential suburb in the Gungahlin district of Canberra, Australian Capital Territory.
  • B. Bonderman
    Bonderman is a surname most prominently associated with American billionaire investor and private equity pioneer David Bonderman.
  • C. Boerne
    Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
  • D. Conerly
    Conerly is a surname most notably associated with Charlie Conerly, a prominent mid-20th-century American football quarterback.
  • E. 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.
  • 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: [Jo Bonner, familyName, Bonner]
Generated description
Bonner is a surname shared by various notable individuals across fields such as politics, sports, 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, and the arts.
  • A. Bonner
    Bonner is a residential suburb in the Gungahlin district of Canberra, Australian Capital Territory.
  • B. Bonderman
    Bonderman is a surname most prominently associated with American billionaire investor and private equity pioneer David Bonderman.
  • C. Boerne
    Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
  • D. Conerly
    Conerly is a surname most notably associated with Charlie Conerly, a prominent mid-20th-century American football quarterback.
  • E. 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.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a9981be88190b709c0e72ad3f7e6 completed April 20, 2026, 4:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bd36b4081908827a0e7f11b2576 completed May 14, 2026, 5:21 a.m.
NEDg Description generation batch_6a055d7d26dc8190a274af4f98c7ed2e completed May 14, 2026, 5:28 a.m.
NED2 Entity disambiguation (via description) batch_6a055dd32a04819098b2b8fbcae0031d completed May 14, 2026, 5:29 a.m.
Created at: April 10, 2026, 11:56 a.m.