Triple
T15949745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Preacher |
E386782
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Jason Netter |
E502081
|
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 Netter | Statement: [Preacher, executiveProducer, Jason Netter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Netter Context triple: [Preacher, executiveProducer, Jason Netter]
-
A.
Jason Netter
chosen
Jason Netter is a film and television producer best known for his work on the action thriller "Wanted" (2008) and various comic book–related projects.
-
B.
Brian Kessler
Brian Kessler is a young writer and true-crime enthusiast who embarks on a cross-country road trip to research serial killers in the film "Kalifornia."
-
C.
Mike Gunton
Mike Gunton is a British television producer best known for his work on landmark BBC natural history documentaries.
-
D.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
E.
Jeff Nelson
Jeff Nelson is a Major League Baseball umpire who has served in numerous postseason games, including as a crew chief in the World Series.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d4c5008190a56ebf8c28f712dc |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe76df6481909f8246099faa377a |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.