Triple

T19165453
Position Surface form Disambiguated ID Type / Status
Subject Phil Petrillo E469166 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: [Phil Petrillo, relative, Stan Zbornak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stan Zbornak
Context triple: [Phil Petrillo, 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. Louis Mellis
    Louis Mellis is a British screenwriter best known for co-writing the acclaimed crime film "Sexy Beast."
  • E. Michael Korie
    Michael Korie is an American lyricist and librettist known for his work in musical theatre and opera, including collaborations on acclaimed shows such as Grey Gardens.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f15ee064819087f9fd822236298f completed April 20, 2026, 9:26 a.m.
Created at: April 10, 2026, 12:06 p.m.