Triple
T8190481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pam Oliver |
E191289
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
WIVB-TV
WIVB-TV is a television station serving the Buffalo, New York market, known for its local news and CBS-affiliated programming.
|
E718233
|
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: WIVB-TV | Statement: [Pam Oliver, employer, WIVB-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WIVB-TV Context triple: [Pam Oliver, employer, WIVB-TV]
-
A.
WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
-
B.
WGR-TV
WGR-TV is a Buffalo, New York television station that served as an early career platform for broadcaster and journalist Nick Clooney.
-
C.
WLNY-TV
WLNY-TV is a New York-area independent television station that operates as a sister outlet to CBS flagship WCBS-TV, airing a mix of syndicated programming and locally focused content.
-
D.
WNYE-TV
WNYE-TV is a non-commercial educational television station serving the New York City area, operated by NYC Media and known for its locally focused and multicultural programming.
-
E.
WJZ-TV
WJZ-TV is a Baltimore-based television station that serves as a major local news and CBS network affiliate.
- 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: WIVB-TV Triple: [Pam Oliver, employer, WIVB-TV]
Generated description
WIVB-TV is a television station serving the Buffalo, New York market, known for its local news and CBS-affiliated programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WIVB-TV Target entity description: WIVB-TV is a television station serving the Buffalo, New York market, known for its local news and CBS-affiliated programming.
-
A.
WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
-
B.
WGR-TV
WGR-TV is a Buffalo, New York television station that served as an early career platform for broadcaster and journalist Nick Clooney.
-
C.
WLNY-TV
WLNY-TV is a New York-area independent television station that operates as a sister outlet to CBS flagship WCBS-TV, airing a mix of syndicated programming and locally focused content.
-
D.
WNYE-TV
WNYE-TV is a non-commercial educational television station serving the New York City area, operated by NYC Media and known for its locally focused and multicultural programming.
-
E.
WJZ-TV
WJZ-TV is a Baltimore-based television station that serves as a major local news and CBS network affiliate.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4da2f4108190b9b69cb7f41ef374 |
completed | March 31, 2026, 4:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced979d408190851088c6d3f4df24 |
completed | April 1, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_69ccf1b5f95481909fdb08d00d06023e |
completed | April 1, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd059457788190a900402ee4cd50d5 |
completed | April 1, 2026, 11:46 a.m. |
Created at: March 30, 2026, 5:41 p.m.