Triple
T4483115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Viola |
E100176
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | WNET Thirteen |
E290890
|
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: WNET Thirteen | Statement: [Bill Viola, employer, WNET Thirteen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WNET Thirteen Context triple: [Bill Viola, employer, WNET Thirteen]
-
A.
WNET
WNET is a major New York City public television station and one of the primary flagship producers of national programming for PBS.
-
B.
Thirteen WNET New York
chosen
Thirteen WNET New York is a major public television station and PBS flagship in New York City known for producing acclaimed educational and documentary programming.
-
C.
WCVB-TV
WCVB-TV is a Boston-based television station serving as the ABC network affiliate for the Greater Boston area.
-
D.
WCBS-TV
WCBS-TV is the primary New York City television station of the CBS network, serving as its main owned-and-operated outlet.
-
E.
NBC
NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fd35088190be79efc6c7317e2a |
completed | March 13, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6378930c48190ae589a895e5b7bc6 |
completed | March 15, 2026, 4:37 a.m. |
Created at: March 12, 2026, 11:36 p.m.