Triple

T7451933
Position Surface form Disambiguated ID Type / Status
Subject Kliff Kingsbury E172027 entity
Predicate familyName P18 FINISHED
Object Kingsbury E415096 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: Kingsbury | Statement: [Kliff Kingsbury, familyName, Kingsbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingsbury
Context triple: [Kliff Kingsbury, familyName, Kingsbury]
  • A. Kingsbury chosen
    Kingsbury is a suburban district in northwest London, England, known for its residential character and proximity to Wembley.
  • B. Lansbury
    Lansbury is the surname most famously associated with British-American actress and singer Angela Lansbury, renowned for her work in film, theatre, and television.
  • C. Kingsbury Grade
    Kingsbury Grade is a mountain pass in the Sierra Nevada of western Nevada, known for its steep, winding road connecting the Carson Valley with the Lake Tahoe area.
  • D. Kirkley
    Kirkley is a coastal suburb and former village now forming part of the town of Lowestoft in Suffolk, England.
  • E. Kearsley
    Kearsley is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f38d6a8c8190af2e73c719da87a6 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827b9a6048190bd3e3594b9cff2b7 completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:14 p.m.