Triple
T55568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoshua Bengio |
E1098
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | deep learning pioneer |
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: deep learning pioneer Context triple: [Yoshua Bengio, instanceOf, deep learning pioneer]
-
A.
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.
-
B.
innovator
An innovator is a person who conceives and implements novel ideas, methods, or products that significantly alter existing practices or create entirely new possibilities.
-
C.
development expert
A development expert is a professional who applies specialized knowledge, tools, and methodologies to plan, implement, and optimize projects or programs that drive sustainable growth and improvement in a specific domain or region.
-
D.
mathematician
A mathematician is a person who studies, formulates, and analyzes abstract structures, patterns, and relationships using logical reasoning and symbolic methods.
-
E.
scientific patron
A scientific patron is an individual or organization that provides financial, institutional, or social support to scientific research and researchers, often shaping the direction and priorities of scientific inquiry.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.