Triple
T13653246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Zhang |
E326791
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | computer vision researcher |
C3390
|
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: computer vision researcher Context triple: [Richard Zhang, instanceOf, computer vision researcher]
-
A.
computer vision research laboratory
A computer vision research laboratory is a specialized facility where researchers develop, test, and evaluate algorithms and systems that enable machines to interpret and understand visual information from the world.
-
B.
machine learning researcher
chosen
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.
-
C.
computer vision algorithm
A computer vision algorithm is a computational method that processes and interprets visual data from images or videos to automatically extract meaningful information or perform tasks such as detection, recognition, and segmentation.
-
D.
vision scientist
A vision scientist is a researcher who studies the mechanisms, processes, and perception of visual systems in humans and other organisms, often integrating biology, neuroscience, psychology, and optics.
-
E.
researcher
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.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
Created at: April 9, 2026, 9:52 p.m.