Triple

T19605606
Position Surface form Disambiguated ID Type / Status
Subject Estey E470596 entity
Predicate hasVariantSpelling P457 FINISHED
Object Esty 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: Esty | Statement: [Estey, hasVariantSpelling, Esty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esty
Context triple: [Estey, hasVariantSpelling, Esty]
  • A. Estyn
    Estyn is the education and training inspectorate for Wales, responsible for evaluating the quality and standards of schools, colleges, and other learning providers.
  • B. Estey chosen
    Estey is a surname and place name most commonly associated with North American families and locations, sometimes appearing as a variant spelling of similar names like Easty.
  • C. Eckstine
    Eckstine is the surname of Billy Eckstine, the influential American jazz and pop singer and bandleader known for his rich baritone voice and pioneering big band.
  • D. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • E. Turnesa
    Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640c6cb3c819096b8093499d8e1ad completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.