Triple

T22947979
Position Surface form Disambiguated ID Type / Status
Subject Kate Zbornak E569924 entity
Predicate relative P37 FINISHED
Object Stan Zbornak 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: Stan Zbornak | Statement: [Kate Zbornak, relative, Stan Zbornak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stan Zbornak
Context triple: [Kate Zbornak, relative, Stan Zbornak]
  • A. Stanley Zbornak chosen
    Stanley Zbornak is a recurring character on the sitcom "The Golden Girls," known as Dorothy Zbornak's ex-husband and a frequent source of comic frustration in her life.
  • B. Kent Zbornak
    Kent Zbornak is a television producer best known for his work as an executive producer on the sitcom "Raising Hope."
  • C. Craig Bierko
    Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
  • D. Michael Zbornak
    Michael Zbornak is a minor character in the TV series "The Golden Girls," known as the son of Dorothy Zbornak and the ex-husband of Phil Petrillo.
  • E. Louis Mellis
    Louis Mellis is a British screenwriter best known for co-writing the acclaimed crime film "Sexy Beast."
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819fbf8c8190ad80c93f1507aa73 completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.