Triple
T9741768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Comedians (TV series) |
E236200
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Ben Wexler |
E830831
|
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: Ben Wexler | Statement: [The Comedians (TV series), executiveProducer, Ben Wexler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Wexler Context triple: [The Comedians (TV series), executiveProducer, Ben Wexler]
-
A.
Ben Wexler
chosen
Ben Wexler is a television writer and producer known for his work on comedy series, including developing the show "The Comedians."
-
B.
Josh Kesselman
Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
-
C.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
-
D.
David Winkler
David Winkler is an American film producer known for his work on major Hollywood movies, including entries in the Rocky/Creed franchise.
-
E.
Charlie Wachtel
Charlie Wachtel is an American screenwriter best known for co-writing the Academy Award–winning film "BlacKkKlansman."
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2af3e48190b83a442cd0e84062 |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23cd89d1c8190aedab60e3f5088b3 |
completed | April 5, 2026, 10:43 a.m. |
Created at: March 30, 2026, 8:23 p.m.