Triple
T4197661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Clooney |
E85991
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
WKRC-TV
WKRC-TV is a Cincinnati-based television station known for its local news coverage and for having notable broadcasters such as Nick Clooney among its on-air talent.
|
E419293
|
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: WKRC-TV | Statement: [Nick Clooney, employer, WKRC-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WKRC-TV Context triple: [Nick Clooney, employer, WKRC-TV]
-
A.
KDKA-TV
KDKA-TV is a Pittsburgh-based television station and major CBS affiliate known as one of the pioneering commercial TV outlets in the United States.
-
B.
WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
-
C.
WTAE-TV
WTAE-TV is a Pittsburgh-based television station that serves as the local ABC network affiliate.
-
D.
WPWR-TV
WPWR-TV is a Chicago-area television station that serves as a MyNetworkTV affiliate and is part of the Fox Television Stations group.
-
E.
WTVT
WTVT is a Fox-affiliated television station serving the Tampa Bay, Florida market.
- 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: WKRC-TV Triple: [Nick Clooney, employer, WKRC-TV]
Generated description
WKRC-TV is a Cincinnati-based television station known for its local news coverage and for having notable broadcasters such as Nick Clooney among its on-air talent.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WKRC-TV Target entity description: WKRC-TV is a Cincinnati-based television station known for its local news coverage and for having notable broadcasters such as Nick Clooney among its on-air talent.
-
A.
KDKA-TV
KDKA-TV is a Pittsburgh-based television station and major CBS affiliate known as one of the pioneering commercial TV outlets in the United States.
-
B.
WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
-
C.
WTAE-TV
WTAE-TV is a Pittsburgh-based television station that serves as the local ABC network affiliate.
-
D.
WPWR-TV
WPWR-TV is a Chicago-area television station that serves as a MyNetworkTV affiliate and is part of the Fox Television Stations group.
-
E.
WTVT
WTVT is a Fox-affiliated television station serving the Tampa Bay, Florida market.
- 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.