Triple

T3881459
Position Surface form Disambiguated ID Type / Status
Subject Leigh Hunt E92831 entity
Predicate givenName P17 FINISHED
Object Leigh E6683 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: Leigh | Statement: [Leigh Hunt, givenName, Leigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leigh
Context triple: [Leigh Hunt, givenName, Leigh]
  • A. Leigh chosen
    Leigh is a given name and surname of English origin, used for all genders and often considered a variant spelling of "Lee."
  • B. Leigh
    Leigh is a parliamentary constituency in Greater Manchester, England, historically represented in the UK House of Commons.
  • C. Birkenhead
    Birkenhead is a town in north west England, situated on the Wirral Peninsula across the River Mersey from Liverpool, known historically for its shipbuilding and docks.
  • D. Leyland
    Leyland is a town in Lancashire, England, historically known for its vehicle manufacturing industry, particularly Leyland Motors.
  • E. Pennard
    Pennard is a coastal village in Swansea, Wales, known for its scenic cliffs, nearby beaches, and the ruins of medieval Pennard Castle overlooking Three Cliffs Bay.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec8d5c1c8190906294177f3ad49e completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512568ba48190a820fcda9b472701 completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.