Triple
T10351752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léon Zitrone |
E243897
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | French 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: French television personality Context triple: [Léon Zitrone, instanceOf, French television personality]
-
A.
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.
-
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.
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.
-
D.
French public official
A French public official is an individual who holds a position of authority or responsibility within France’s governmental or administrative institutions, tasked with implementing public policies and serving the interests of the state and its citizens.
-
E.
French journalist
A French journalist is a media professional from France who investigates, reports, and analyzes news and current events for print, broadcast, or digital outlets, often within the context of French society, politics, and culture.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
Created at: April 6, 2026, 11:57 a.m.