Triple
T6597933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skip Caray |
E148521
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
WSB-TV
WSB-TV is a major Atlanta, Georgia television station and longtime broadcaster of local news and sports coverage.
|
E601654
|
NE FINISHED |
How this triple was built (4 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: WSB-TV | Statement: [Skip Caray, employer, WSB-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WSB-TV Context triple: [Skip Caray, employer, WSB-TV]
-
A.
TNN (The Nashville Network)
TNN (The Nashville Network) was an American cable television network best known for its country music, Southern lifestyle, and motorsports programming.
-
B.
WTN
WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
-
C.
Cable News Network
Cable News Network (CNN) is a major American cable and satellite television news channel known for pioneering 24-hour television news coverage worldwide.
-
D.
WGN America
WGN America is a U.S.-based cable television network known for airing syndicated series, movies, and original programming to a national audience.
-
E.
Fox News Channel
Fox News Channel is a major American cable television news network known for its conservative-leaning commentary and wide influence on U.S. political discourse.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WSB-TV Triple: [Skip Caray, employer, WSB-TV]
Generated description
WSB-TV is a major Atlanta, Georgia television station and longtime broadcaster of local news and sports coverage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WSB-TV Target entity description: WSB-TV is a major Atlanta, Georgia television station and longtime broadcaster of local news and sports coverage.
-
A.
TNN (The Nashville Network)
TNN (The Nashville Network) was an American cable television network best known for its country music, Southern lifestyle, and motorsports programming.
-
B.
WTN
WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
-
C.
Cable News Network
Cable News Network (CNN) is a major American cable and satellite television news channel known for pioneering 24-hour television news coverage worldwide.
-
D.
WGN America
WGN America is a U.S.-based cable television network known for airing syndicated series, movies, and original programming to a national audience.
-
E.
Fox News Channel
Fox News Channel is a major American cable television news network known for its conservative-leaning commentary and wide influence on U.S. political discourse.
- F. None of above. chosen
Provenance (5 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aeee738081908913f4f8c6699bd9 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbc3ee188190a285110707a895b6 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd09753c81909df166156ffbf82a |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce9ba47c819091496c87117e7a03 |
completed | March 27, 2026, 6:38 p.m. |
Created at: March 27, 2026, 1:56 p.m.