Triple
T4197662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Clooney |
E85991
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
WGR-TV
WGR-TV is a Buffalo, New York television station that served as an early career platform for broadcaster and journalist Nick Clooney.
|
E419294
|
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: WGR-TV | Statement: [Nick Clooney, employer, WGR-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WGR-TV Context triple: [Nick Clooney, employer, WGR-TV]
-
A.
WABC-TV
WABC-TV is a New York City-based ABC-owned television station that produces and broadcasts local and nationally syndicated programming.
-
B.
WWOR-TV
WWOR-TV is a New York–area television station, historically known as a major independent and later network-affiliated outlet serving the New York City metropolitan market.
-
C.
WCBS-TV
WCBS-TV is the primary New York City television station of the CBS network, serving as its main owned-and-operated outlet.
-
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: WGR-TV Triple: [Nick Clooney, employer, WGR-TV]
Generated description
WGR-TV is a Buffalo, New York television station that served as an early career platform for broadcaster and journalist Nick Clooney.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WGR-TV Target entity description: WGR-TV is a Buffalo, New York television station that served as an early career platform for broadcaster and journalist Nick Clooney.
-
A.
WABC-TV
WABC-TV is a New York City-based ABC-owned television station that produces and broadcasts local and nationally syndicated programming.
-
B.
WWOR-TV
WWOR-TV is a New York–area television station, historically known as a major independent and later network-affiliated outlet serving the New York City metropolitan market.
-
C.
WCBS-TV
WCBS-TV is the primary New York City television station of the CBS network, serving as its main owned-and-operated outlet.
-
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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0360bc8081908ceb2483eef89174 |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a0ff2a08190ac7f89d306454ab8 |
completed | March 14, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_69b58aa95428819085048691c77e2aea |
completed | March 14, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58b34c4e881909fd44fbe8acedda4 |
completed | March 14, 2026, 4:22 p.m. |
Created at: March 9, 2026, 3:48 p.m.