Triple
T34101322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. C. Shaw |
E874575
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | pioneer in artificial intelligence |
C59851
|
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 artificial intelligence Context triple: [J. C. Shaw, instanceOf, pioneer in artificial intelligence]
-
A.
robotics pioneer
A robotics pioneer is an individual who significantly advances the field of robotics through groundbreaking research, innovative designs, or transformative applications that shape the future of intelligent machines.
-
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.
artificial intelligence
Artificial intelligence is a field of computer science focused on creating systems that can perform tasks that typically require human intelligence, such as learning, reasoning, perception, and decision-making.
-
D.
pioneer in automated theorem proving
A pioneer in automated theorem proving is an individual who makes foundational contributions to the theory, design, or implementation of systems that enable computers to automatically generate and verify mathematical proofs.
-
E.
information technology pioneer
An information technology pioneer is an individual who significantly advances the development, application, or understanding of computing and digital technologies, often introducing groundbreaking concepts, systems, or practices that shape the evolution of the IT field.
- 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:53 a.m.