Triple
T6559355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hadley Beeman |
E152536
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | technology governance expert |
C21575
|
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: technology governance expert Context triple: [Hadley Beeman, instanceOf, technology governance expert]
-
A.
technology leadership office
A technology leadership office is a centralized organizational unit responsible for setting the strategic direction, governance, and oversight of technology initiatives to align innovation and IT operations with business goals.
-
B.
technology activist
A technology activist is an individual who leverages, critiques, and advocates around digital tools and systems to promote social justice, equity, and democratic control over technology.
-
C.
information governance tool
An information governance tool is a system that helps organizations define, enforce, and monitor policies for managing data throughout its lifecycle to ensure compliance, security, quality, and proper usage.
-
D.
cybersecurity agency
A cybersecurity agency is an organization that protects digital systems, networks, and data from cyber threats through monitoring, prevention, incident response, and security consulting.
-
E.
computer security specialist
A computer security specialist is a professional who protects computer systems, networks, and data from unauthorized access, attacks, and vulnerabilities by implementing, monitoring, and improving security measures.
- F. None of above. chosen
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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
Created at: March 27, 2026, 1:52 p.m.