Triple
T34553267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jock D. Mackinlay |
E887131
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | pioneer in information visualization |
C59991
|
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 information visualization Context triple: [Jock D. Mackinlay, instanceOf, pioneer in information visualization]
-
A.
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.
-
B.
information designer
An information designer plans, structures, and visually presents complex data or concepts so that they are clear, meaningful, and easy for specific audiences to understand and use.
-
C.
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.
-
D.
visualization technique
A visualization technique is a method or approach used to transform data or information into graphical or visual forms that enhance understanding, insight, and communication.
-
E.
data visualization support service
A data visualization support service helps users design, build, and refine clear, effective visual representations of their data, providing tools, guidance, and technical assistance throughout the visualization process.
- 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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:02 a.m.