Triple
T1365161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William H. Press |
E29185
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | science policy expert |
C546
|
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: science policy expert Context triple: [William H. Press, instanceOf, science policy expert]
-
A.
science policy advisor
chosen
A science policy advisor analyzes scientific evidence and trends to inform, develop, and recommend policies that effectively address societal, technological, and environmental challenges.
-
B.
science policy official
A science policy official is a professional who develops, analyzes, and implements policies that guide the use, funding, and regulation of scientific research and technology in government or institutional settings.
-
C.
health policy scholar
A health policy scholar is an expert who studies, analyzes, and evaluates health systems, laws, and regulations to inform and improve public health decision-making and outcomes.
-
D.
science policy document
A science policy document is a formal written record that outlines principles, guidelines, and strategic decisions governing the conduct, funding, regulation, and societal integration of scientific research and innovation.
-
E.
science and technology policy instrument
A science and technology policy instrument is a deliberate governmental or institutional tool—such as funding programs, regulations, tax incentives, or public–private partnerships—used to influence the direction, pace, and societal impact of scientific research and technological innovation.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
Created at: March 1, 2026, 7:57 p.m.