Triple

T22730084
Position Surface form Disambiguated ID Type / Status
Subject Peter Beardsley E562110 entity
Predicate placeOfBirth P1 FINISHED
Object Hexham 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: Hexham | Statement: [Peter Beardsley, placeOfBirth, Hexham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hexham
Context triple: [Peter Beardsley, placeOfBirth, Hexham]
  • A. Hexham chosen
    Hexham is a historic market town in Northumberland, England, known for its medieval abbey and proximity to Hadrian’s Wall.
  • B. Morpeth
    Morpeth is a historic market town in Northumberland, England, known for its traditional architecture and role as a local commercial and administrative centre.
  • C. Northallerton
    Northallerton is a historic market town and the county town of North Yorkshire, England, known for its traditional high street and role as an administrative and commercial centre for the surrounding rural area.
  • D. Knaresborough
    Knaresborough is a historic market and spa town in northern England, known for its medieval castle ruins overlooking the River Nidd and its picturesque viaduct.
  • E. Cramlington
    Cramlington is a modern, largely residential town in North East England known for its post-war development and proximity to Newcastle upon Tyne.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1792cb9cc8190a7c45032427bca1a completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:21 p.m.