Triple

T6966637
Position Surface form Disambiguated ID Type / Status
Subject BernNadette Stanis E161505 entity
Predicate givenName P17 FINISHED
Object BernNadette E161505 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: BernNadette | Statement: [BernNadette Stanis, givenName, BernNadette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BernNadette
Context triple: [BernNadette Stanis, givenName, BernNadette]
  • A. BernNadette Stanis chosen
    BernNadette Stanis is an American actress best known for playing Thelma Evans on the classic 1970s sitcom "Good Times."
  • B. Jo Anne Worley
    Jo Anne Worley is an American comic actress and voice performer best known for her zany, high-energy work on the groundbreaking sketch comedy show "Rowan & Martin's Laugh-In."
  • C. Marilu Henner
    Marilu Henner is an American actress and author best known for her role as Elaine Nardo on the TV sitcom "Taxi" and for her appearances in numerous film and television projects.
  • D. Kathie Moffat
    Kathie Moffat is the seductive and treacherous femme fatale in the classic 1947 film noir "Out of the Past."
  • E. Amy Brenneman
    Amy Brenneman is an American actress and producer best known for her roles in television series such as "NYPD Blue," "Judging Amy," and "The Leftovers."
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db121174819098e73e45f6c9cc91 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761908564819084505f0ab1122a9c completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:30 p.m.