Triple

T18738766
Position Surface form Disambiguated ID Type / Status
Subject Michael Longley E458235 entity
Predicate familyName P18 FINISHED
Object Longley 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: Longley | Statement: [Michael Longley, familyName, Longley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longley
Context triple: [Michael Longley, familyName, Longley]
  • A. Longley chosen
    Longley is a surname most notably associated with Luc Longley, the Australian former professional basketball player and three-time NBA champion with the Chicago Bulls.
  • B. Hockley
    Hockley is a village in Essex, England, known for its residential character and rail links to London and Southend.
  • C. Hockley
    Hockley is a vibrant, historic district in Nottingham, England, known for its independent shops, bars, and creative cultural scene.
  • D. Hockley
    Hockley is an inner-city area of Birmingham, England, best known for its historic Jewellery Quarter and industrial heritage.
  • E. Marston Green
    Marston Green is a suburban village in the Metropolitan Borough of Solihull in the West Midlands, England, known for its residential character and proximity to Birmingham and the NEC.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768ca990819098102f8522ce401f completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.