Triple
T21176631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joey Bishop |
E521827
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Sylvia Ruzga |
—
|
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: Sylvia Ruzga | Statement: [Joey Bishop, spouse, Sylvia Ruzga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvia Ruzga Context triple: [Joey Bishop, spouse, Sylvia Ruzga]
-
A.
Sylvia Ruzga
chosen
Sylvia Ruzga was the wife of American comedian and Rat Pack member Joey Bishop.
-
B.
Annette Zilinskas
Annette Zilinskas is an American musician best known as an early bassist and vocalist for the pop-rock band The Bangles before pursuing other musical projects.
-
C.
Cornelia Srebnick
Cornelia Srebnick is a central character in the film "While We're Young," portrayed as a woman navigating marriage, creativity, and generational tensions in contemporary New York City.
-
D.
Renata Koffritz
Renata Koffritz is a character in Saul Bellow’s novel "Humboldt’s Gift," involved in the complex personal and social entanglements surrounding the protagonist.
-
E.
Arlene Vrhel
Arlene Vrhel is an American restaurateur best known as the longtime wife of actor Joe Mantegna.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e730197cfc8190bde13453b761886b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3 p.m.