Triple

T20334232
Position Surface form Disambiguated ID Type / Status
Subject Carlton Errington Grant E492562 entity
Predicate hasGivenName P17 FINISHED
Object Carlton 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: Carlton | Statement: [Carlton Errington Grant, hasGivenName, Carlton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlton
Context triple: [Carlton Errington Grant, hasGivenName, Carlton]
  • A. Carlton
    Carlton is a town in Nottinghamshire, England, situated just east of the city of Nottingham.
  • B. Carlton
    Carlton is a small unincorporated rural community in Washington State’s Methow Valley, known for its scenic setting along the Methow River and outdoor recreation opportunities.
  • C. Carlton
    Carlton is a village and civil parish located within the English county of Suffolk.
  • D. Carlton
    Carlton is an inner-city suburb of Melbourne, Australia, known for its historic architecture, Lygon Street Italian precinct, and proximity to major universities and cultural institutions.
  • E. Carlton
    Carlton is a former British television company and brand best known for operating ITV franchises and producing a wide range of UK television programming in the 1990s and early 2000s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677ea8a088190b2b37accd6b24277 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:23 a.m.