Triple
T30946265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David F. Rogers |
E788400
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | pioneer in computer-aided geometric design |
C33224
|
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: pioneer in computer-aided geometric design Context triple: [David F. Rogers, instanceOf, pioneer in computer-aided geometric design]
-
A.
geometric modeling kernel
A geometric modeling kernel is a core software component that provides the mathematical and topological operations needed to create, represent, and manipulate complex 2D and 3D geometric models in CAD and related applications.
-
B.
pioneer in symbolic computation
A pioneer in symbolic computation is an individual or entity that significantly advances the theory, algorithms, or systems enabling computers to manipulate and reason about mathematical symbols and expressions exactly rather than numerically.
-
C.
computer graphics expert
chosen
A computer graphics expert is a specialist who designs, optimizes, and implements visual content and rendering techniques using mathematical models, algorithms, and graphics hardware to produce realistic or stylized digital imagery.
-
D.
tool in geometric analysis
A tool in geometric analysis is a mathematical method, concept, or construction used to study and characterize the geometric and analytic properties of spaces, shapes, and mappings.
-
E.
computer graphics algorithm
A computer graphics algorithm is a step-by-step computational procedure designed to generate, manipulate, or render visual images and scenes on digital displays.
- 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_69f224c180f88190ad177372ee02b7e2 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 8:53 p.m.