Triple

T5433457
Position Surface form Disambiguated ID Type / Status
Subject Fields E121550 entity
Predicate hasNotableBearer P458 FINISHED
Object Kim Fields E268441 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: Kim Fields | Statement: [Fields, hasNotableBearer, Kim Fields]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Fields
Context triple: [Fields, hasNotableBearer, Kim Fields]
  • A. Kim Fields chosen
    Kim Fields is an American actress best known for her role as Dorothy "Tootie" Ramsey on the sitcom *The Facts of Life* and later as Regine Hunter on *Living Single*.
  • B. Joan Leslie
    Joan Leslie was an American film actress best known for her roles in classic 1940s Hollywood films, often portraying wholesome, girl-next-door characters.
  • C. Blythe Danner
    Blythe Danner is an American actress known for her work in film, television, and theater, including roles in "Meet the Parents" and numerous Broadway productions.
  • D. Vera Miles
    Vera Miles is an American actress best known for her roles in classic Alfred Hitchcock films, including "Psycho" and "The Wrong Man."
  • E. Suzanne Pleshette
    Suzanne Pleshette was an American actress best known for her roles in film and television, including her work on "The Bob Newhart Show" and various Disney productions.
  • 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ae18cc8190aefe610f91b5382c completed March 20, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfc41ee0488190a399f2a54a625c23 completed March 22, 2026, 10:27 a.m.
Created at: March 20, 2026, 2:06 p.m.