Triple
T9578683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treme |
E231112
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Carolyn Strauss |
E444097
|
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: Carolyn Strauss | Statement: [Treme, executiveProducer, Carolyn Strauss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carolyn Strauss Context triple: [Treme, executiveProducer, Carolyn Strauss]
-
A.
Carolyn Strauss
chosen
Carolyn Strauss is an American television executive and producer best known for her influential work at HBO, including helping develop and produce acclaimed series such as Game of Thrones.
-
B.
Carolyn Cohen
Carolyn Cohen is an American neuropsychologist and academic known for her work in cognitive and clinical neuropsychology and as the wife of lawyer Alan Dershowitz.
-
C.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
D.
Caroline Kaplan
Caroline Kaplan is a film producer known for her work on independent movies such as "The Ballad of Jack and Rose."
-
E.
Paula Weinstein
Paula Weinstein was an American film producer and studio executive known for overseeing acclaimed dramas and major Hollywood productions.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aece1081908287e03106de020f |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c3fd3a2c81909a19aafd70b3c150 |
completed | April 5, 2026, 2:07 a.m. |
Created at: March 30, 2026, 8:05 p.m.