Triple

T21829780
Position Surface form Disambiguated ID Type / Status
Subject Kaynette Gern E538958 entity
Predicate knownAs P39 FINISHED
Object Kaynette Williams 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: Kaynette Williams | Statement: [Kaynette Gern, knownAs, Kaynette Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaynette Williams
Context triple: [Kaynette Gern, knownAs, Kaynette Williams]
  • A. Kaynette Gern chosen
    Kaynette Gern is an American television personality and former road manager best known as the first wife of country music singer Blake Shelton.
  • B. Kathlyn Williams
    Kathlyn Williams was a pioneering American silent film actress best known for her work in early adventure serials and melodramas.
  • C. Sharilyn Knox
    Sharilyn Knox is a Canadian municipal politician serving as the mayor of Portage la Prairie, Manitoba.
  • D. Lala Ward
    Lala Ward is a British actress best known for playing the Time Lady Romana in the long-running science fiction television series Doctor Who.
  • E. Loni Kaye Anderson
    Loni Kaye Anderson is an American actress best known for her role as Jennifer Marlowe on the television sitcom "WKRP in Cincinnati."
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0913554508190b81347f01d3903e8 completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:54 p.m.