Triple

T19878264
Position Surface form Disambiguated ID Type / Status
Subject Christian Bonington E477697 entity
Predicate familyName P18 FINISHED
Object Bonington NE NERFINISHED

How this triple was built (2 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: Bonington | Statement: [Christian Bonington, familyName, Bonington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonington
Context triple: [Christian Bonington, familyName, Bonington]
  • A. Bonington chosen
    Bonington is an English surname most notably associated with Sir Christian Bonington, a renowned British mountaineer and expedition leader.
  • B. Lynton
    Lynton is a small coastal town in North Devon, England, known for its dramatic cliffside setting above Lynmouth and its Victorian-era cliff railway.
  • C. Bo’ness
    Bo’ness, short for Borrowstounness, is a historic coastal town on the Firth of Forth in Scotland known for its industrial heritage, harbor, and preserved railway.
  • D. Brighton-Le-Sands
    Brighton-Le-Sands is a coastal suburb in southern Sydney, Australia, known for its popular beach, promenade, and views across Botany Bay.
  • E. Blyth
    Blyth is a small historic village and civil parish in the Bassetlaw district of Nottinghamshire, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658dc8ce08190b005ad49924e5659 completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.