Triple
T6101407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy Zbornak |
E136005
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object | Michael Zbornak |
E569923
|
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: Michael Zbornak | Statement: [Dorothy Zbornak, parentOf, Michael Zbornak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Zbornak Context triple: [Dorothy Zbornak, parentOf, Michael 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.
Michael Kuzak
Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
-
C.
John Zaccaro
John Zaccaro is an American real estate developer best known as the husband of the late U.S. Congresswoman and 1984 vice-presidential nominee Geraldine Ferraro.
-
D.
Joey Zimmerman
Joey Zimmerman is an American actor best known for playing Dylan Piper in Disney Channel’s "Halloweentown" film series.
-
E.
Justin Spitz
Justin Spitz is known as one of the children of legendary American Olympic swimmer Mark Spitz.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3aa9908190865be98ada141d37 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1359334c081909653603633ba9c06 |
completed | March 23, 2026, 12:44 p.m. |
Created at: March 22, 2026, 4:13 p.m.