Triple
T16635706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Janetti |
E404193
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Brad Goreski |
E1065183
|
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: Brad Goreski | Statement: [Gary Janetti, spouse, Brad Goreski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brad Goreski Context triple: [Gary Janetti, spouse, Brad Goreski]
-
A.
Brad Goreski
chosen
Brad Goreski is a Canadian-American celebrity fashion stylist and television personality known for his sharp red-carpet commentary and appearances on style-focused TV shows.
-
B.
David Kajganich
David Kajganich is an American screenwriter and producer known for his work on atmospheric horror and thriller projects such as the TV series "The Terror" and the film "Suspiria."
-
C.
Chris Gorak
Chris Gorak is an American film director and screenwriter known for his work in science fiction and thriller genres.
-
D.
Doug Belgrad
Doug Belgrad is an American film producer and former Sony Pictures executive known for overseeing and producing major Hollywood studio films.
-
E.
Greg Ganske
Greg Ganske is an American plastic surgeon and Republican politician who represented Iowa in the U.S. House of Representatives from 1995 to 2003.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e999d48190bff680040dbc883d |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0123257b908190819986393cb35748 |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:17 a.m.