Triple
T10069048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Bridgeland |
E213170
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | public 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: public policy expert Context triple: [John Bridgeland, instanceOf, public policy expert]
-
A.
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.
-
B.
public policy domain
The public policy domain encompasses the processes, institutions, and frameworks through which governments and stakeholders identify societal issues, design and implement policy solutions, and evaluate their impacts on the public.
-
C.
public policy book
A public policy book is a written work that analyzes, explains, or critiques government policies and policymaking processes, often offering frameworks, evidence, and recommendations for addressing societal issues.
-
D.
public policy office
A public policy office is an organizational unit within a government or institution responsible for researching, developing, analyzing, and coordinating policies to address public issues and guide decision-making.
-
E.
public policy doctrine
A public policy doctrine is a legal principle that allows courts or governments to limit, invalidate, or shape actions, contracts, or decisions that conflict with the broader interests, values, or welfare of society.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
Created at: March 30, 2026, 8:58 p.m.