Triple

T10964306
Position Surface form Disambiguated ID Type / Status
Subject Kelly Bryan Cheshire E259055 entity
Predicate relative P37 FINISHED
Object Til Cheshire E897816 NE FINISHED

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: Til Cheshire | Statement: [Kelly Bryan Cheshire, relative, Til Cheshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Til Cheshire
Context triple: [Kelly Bryan Cheshire, relative, Til Cheshire]
  • A. Til Cheshire chosen
    Til Cheshire is the child of Kelly Bryan Cheshire.
  • B. Cheshire
    Cheshire is a ceremonial and historic county in North West England known for its rural landscapes, affluent towns, and production of Cheshire cheese.
  • C. Cheshire
    Cheshire is a small rural town in Berkshire County, Massachusetts, known for its scenic setting in the Berkshire Hills and its historic New England character.
  • D. Warburton, Cheshire
    Warburton, Cheshire is a small historic village and civil parish in Greater Manchester, England, known for its rural character, ancient church, and the privately owned Warburton Toll Bridge.
  • E. Darbyshire
    Darbyshire is an English surname of likely toponymic origin, associated with individuals such as the architect and playwright Alfred Darbyshire.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77147f7108190a3b68ba1dd1c130e completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3743d16ac81909c2d4eb11713512b completed April 18, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:23 p.m.