Triple
T14258656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol's Second Act |
E353451
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | David Kohan |
E486647
|
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: David Kohan | Statement: [Carol's Second Act, executiveProducer, David Kohan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Kohan Context triple: [Carol's Second Act, executiveProducer, David Kohan]
-
A.
David Kohan
chosen
David Kohan is an American television producer and writer best known as the co-creator of the hit sitcom "Will & Grace."
-
B.
Jerry Cohan
Jerry Cohan was an American vaudeville performer and the father of famed entertainer George M. Cohan, known for his work in the family’s touring act, the Four Cohans.
-
C.
Alan Kohan
Alan Kohan is a member of the Kohan family, related to television writer and producer Jenji Kohan.
-
D.
Sam Koppelman
Sam Koppelman is an American writer and political speechwriter known for co-authoring books with figures like Beto O’Rourke and for his work on voting rights and democracy.
-
E.
David Aaron Cohen
David Aaron Cohen is an American screenwriter best known for co-writing the sports drama film "Friday Night Lights."
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6352611c819090d062fe3079cd03 |
completed | April 14, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3260fdf88190b482480a17bd6674 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:09 a.m.