Triple
T6666274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Kenny |
E151611
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | American television personality |
C3417
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: American television personality Context triple: [Brian Kenny, instanceOf, American television personality]
-
A.
American media personality
An American media personality is a public figure from the United States who gains recognition and influence through frequent appearances and engagement across various media platforms such as television, radio, podcasts, and social media.
-
B.
television host
chosen
A television host is a person who presents, guides, and facilitates a TV program, engaging with guests and audiences while introducing segments and maintaining the show's flow.
-
C.
British media personality
A British media personality is a public figure from the United Kingdom who gains recognition and influence through frequent appearances and engagement across television, radio, print, and digital platforms.
-
D.
American public figure
An American public figure is an individual from the United States who holds a prominent, widely recognized role in society—such as in politics, entertainment, business, or activism—and whose actions and opinions significantly influence public discourse.
-
E.
television panelist
A television panelist is an individual who appears as a recurring or guest participant on a TV program’s discussion panel, offering opinions, expertise, or commentary on the show’s topics.
- F. None of above.
Provenance (1 batch)
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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
Created at: March 27, 2026, 2:02 p.m.