Triple
T9969862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life in Pieces |
E196176
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Jason Winer |
E611550
|
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: Jason Winer | Statement: [Life in Pieces, executiveProducer, Jason Winer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Winer Context triple: [Life in Pieces, executiveProducer, Jason Winer]
-
A.
Jason Winer
chosen
Jason Winer is an American television director and producer best known for his work on the hit sitcom "Modern Family" and various other comedy series.
-
B.
Calvin Wimmer
Calvin Wimmer is a film editor best known for his work on the science fiction horror movie "The Cloverfield Paradox."
-
C.
Brad Winderbaum
Brad Winderbaum is an American film and television producer and Marvel Studios executive known for overseeing various projects within the Marvel Cinematic Universe.
-
D.
Jeff Kodosky
Jeff Kodosky is an American engineer and co-founder of National Instruments, best known as the "father of LabVIEW" for creating the influential graphical programming environment.
-
E.
Michael Wincott
Michael Wincott is a Canadian character actor known for his distinctive raspy voice and memorable villainous roles in films such as The Crow, Robin Hood: Prince of Thieves, and Nope.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b7ea9881908a56f11e2e446dd0 |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d380d202d0819083f848a72ac58130 |
completed | April 6, 2026, 9:45 a.m. |
Created at: March 30, 2026, 8:48 p.m.