Triple
T9096460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Pozner |
E218033
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | media literacy advocate |
C5527
|
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: media literacy advocate Context triple: [Jennifer Pozner, instanceOf, media literacy advocate]
-
A.
media literacy initiative
A media literacy initiative is a coordinated program or effort designed to help people critically access, analyze, evaluate, create, and responsibly engage with media across various platforms.
-
B.
cultural advocate
A cultural advocate is an individual who actively promotes, protects, and amplifies the values, traditions, and creative expressions of a particular community or culture within broader social, political, and institutional contexts.
-
C.
digital rights activist
A digital rights activist is an individual who advocates for the protection and expansion of civil liberties, privacy, free expression, and equitable access to information in online and digital environments.
-
D.
media critic
chosen
A media critic is an individual who analyzes, evaluates, and interprets various forms of media—such as film, television, journalism, and digital content—to assess their quality, meaning, cultural impact, and underlying messages.
-
E.
media analyst
A media analyst systematically evaluates media content, trends, and audience data to provide insights that inform communication strategies and decision-making.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
Created at: March 30, 2026, 7:15 p.m.