Triple
T21660038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Problem with Jon Stewart |
E534570
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Chris McShane |
—
|
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: Chris McShane | Statement: [The Problem with Jon Stewart, executiveProducer, Chris McShane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris McShane Context triple: [The Problem with Jon Stewart, executiveProducer, Chris McShane]
-
A.
Chris McShane
chosen
Chris McShane is a television producer best known for serving as an executive producer on the current affairs series "The Problem with Jon Stewart."
-
B.
Shane Deary
Shane Deary is an American carpenter and contractor known for his past marriage to actress Keri Russell.
-
C.
Darren Morfitt
Darren Morfitt is a British actor known for his roles in television dramas and genre series, including appearances in Doctor Who.
-
D.
Shane McDermott
Shane McDermott is an American actor best known for his leading role as a laid-back inline skater in the 1993 teen sports comedy film "Airborne."
-
E.
Ian Shorr
Ian Shorr is an American screenwriter known for working on science fiction and action projects, including the film "Infinite."
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c06844c81909b9c91e02fa4e6e1 |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:36 p.m.