Triple
T15835527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol Browner |
E383974
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | environmental policy expert |
C11294
|
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: environmental policy expert Context triple: [Carol Browner, instanceOf, environmental policy expert]
-
A.
environmental law scholar
An environmental law scholar is an expert who studies, interprets, and critiques legal frameworks and policies governing the protection, use, and regulation of the natural environment.
-
B.
science policy scholar
A science policy scholar is an expert who studies and analyzes how scientific knowledge, institutions, and innovation interact with government decision-making, public policy, and societal outcomes.
-
C.
policy expert
chosen
A policy expert is a professional who analyzes, develops, and advises on public or organizational policies using specialized knowledge, research, and stakeholder insights to inform effective decision-making.
-
D.
environmentalist
An environmentalist is a person who is concerned with protecting the natural environment and advocates for sustainable practices to preserve ecosystems and resources for current and future generations.
-
E.
sustainability professional
A sustainability professional is an expert who develops, implements, and evaluates strategies to minimize environmental impact, promote social responsibility, and support long-term economic viability within organizations or communities.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
Created at: April 10, 2026, 4:49 a.m.