Triple
T35790033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace Brewster Murray |
E1034669
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | pioneer in computer science |
C17
|
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 science Context triple: [Grace Brewster Murray, instanceOf, pioneer in computer science]
-
A.
pioneer in artificial intelligence
A pioneer in artificial intelligence is an individual or organization that makes groundbreaking, foundational contributions to the theories, technologies, and applications that advance the field of AI.
-
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.
information technology pioneer
chosen
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.
-
D.
pioneer in information science
A pioneer in information science is an individual who significantly advances the theories, methods, or technologies for organizing, retrieving, and managing information, thereby shaping how knowledge is accessed and used.
-
E.
electronics pioneer
An electronics pioneer is an individual who significantly advances the development, understanding, or application of electronic technologies through original inventions, theories, or systems.
- 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_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.