Triple
T10602335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart K. Card |
E275781
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | human–computer interaction researcher |
C3389
|
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: human–computer interaction researcher Context triple: [Stuart K. Card, instanceOf, human–computer interaction researcher]
-
A.
human–computer interaction research center
A human–computer interaction research center is an interdisciplinary organization that studies, designs, and evaluates interactive technologies to improve how people use and experience computer systems.
-
B.
human–computer interaction tool
A human–computer interaction tool is a software or hardware system designed to facilitate, enhance, or study the ways humans interact with computers through various input, output, and feedback mechanisms.
-
C.
design theorist
A design theorist is a scholar or practitioner who analyzes, critiques, and formulates conceptual frameworks that explain how and why design works across cultural, social, and technological contexts.
-
D.
researcher
chosen
A researcher is an individual who systematically investigates questions or problems using structured methods to generate new knowledge, validate existing theories, or develop practical solutions.
-
E.
machine learning researcher
A machine learning researcher is a specialist who develops, analyzes, and improves algorithms and models that enable computers to learn from data and make predictions or decisions.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
Created at: April 8, 2026, 7:31 p.m.