Triple
T19182661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter A. Shewhart |
E469614
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | pioneer of statistical quality control |
C30245
|
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 of statistical quality control Context triple: [Walter A. Shewhart, instanceOf, pioneer of statistical quality control]
-
A.
American statistician
chosen
An American statistician is a professional from the United States who specializes in designing studies, collecting and analyzing data, and applying statistical methods to draw conclusions and inform decisions across various fields.
-
B.
pioneer in engineering
A pioneer in engineering is an individual who introduces groundbreaking concepts, methods, or technologies that significantly advance the field and reshape established practices.
-
C.
industrial engineer
An industrial engineer is a professional who designs, optimizes, and manages complex systems, processes, and resources to improve efficiency, quality, and productivity in industrial and service environments.
-
D.
seminal work in nonparametric statistics
A seminal work in nonparametric statistics is a foundational contribution that introduces or rigorously develops distribution-free methods for inference, estimation, or testing, significantly shaping subsequent theory and applications in the field.
-
E.
advertising pioneer
An advertising pioneer is an individual who introduces groundbreaking strategies, technologies, or creative approaches that significantly transform how products, services, or ideas are promoted to the public.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 10, 2026, 12:07 p.m.