Triple

T21099625
Position Surface form Disambiguated ID Type / Status
Subject Kingsley E519859 entity
Predicate hasName P744 FINISHED
Object Kingsley 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: Kingsley | Statement: [Kingsley, hasName, Kingsley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingsley
Context triple: [Kingsley, hasName, Kingsley]
  • A. Kingsley
    Kingsley is a small rural village and civil parish in East Hampshire, England.
  • B. Kingsley
    Kingsley is a masculine given name of English origin, notably borne by British novelist Kingsley Amis.
  • C. Kingsley
    Kingsley is a small rural village in the Staffordshire Moorlands district of Staffordshire, England.
  • D. Chris Kingsley
    Chris Kingsley is a British video game developer and co-founder of Rebellion Developments, known for titles such as the Sniper Elite series.
  • E. Griffin
    Griffin is the invisible, increasingly unhinged scientist at the center of H. G. Wells’s classic science fiction novel "The Invisible Man."
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5b51608190aa286d89a9d54e9f completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:53 p.m.