Triple

T7675498
Position Surface form Disambiguated ID Type / Status
Subject Cline E173850 entity
Predicate hasSpellingVariant P457 FINISHED
Object Clyne E484782 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: Clyne | Statement: [Cline, hasSpellingVariant, Clyne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clyne
Context triple: [Cline, hasSpellingVariant, Clyne]
  • A. Clyne chosen
    Clyne is a village in Neath Port Talbot, Wales, situated near the community of Resolven in the Vale of Neath.
  • B. Clynder
    Clynder is a small village in Argyll and Bute, Scotland, situated on the shores of Gare Loch and known for its scenic coastal setting.
  • C. Ryen
    Ryen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local amenities, and good public transport connections.
  • D. Glennie
    Glennie is a Scottish surname most notably borne by Dame Evelyn Glennie, the renowned virtuoso percussionist.
  • E. Cyan Banister
    Cyan Banister is an American venture capitalist and angel investor known for early-stage investments in prominent tech startups and her role as a partner at Founders Fund.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701e333f08190a9ee87080c6d0118 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a23ba62881908fcdcf2ffcf6d41d completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4:01 p.m.