Triple
T28031995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Geiger |
E708297
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | computer simulation expert |
C53701
|
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: computer simulation expert Context triple: [Max Geiger, instanceOf, computer simulation expert]
-
A.
computer simulation study
A computer simulation study is a research approach that uses computational models to imitate real-world systems or processes under controlled conditions to analyze behavior, test hypotheses, or predict outcomes.
-
B.
computer graphics expert
A computer graphics expert is a specialist who designs, optimizes, and implements visual content and rendering techniques using mathematical models, algorithms, and graphics hardware to produce realistic or stylized digital imagery.
-
C.
research simulator
A research simulator is a virtual environment or tool that models real-world research processes, allowing users to design, conduct, and analyze simulated studies for learning, experimentation, or decision-making.
-
D.
simulation technique
A simulation technique is a systematic method for modeling and imitating the behavior of real or hypothetical systems over time to analyze their performance, predict outcomes, or support decision-making.
-
E.
performance expert
A performance expert is a specialist who analyzes, optimizes, and enhances individual or organizational performance through data-driven assessment, targeted strategies, and continuous improvement techniques.
- 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_69ef9b6bdd9c8190bb3a574a03774ad1 |
completed | April 27, 2026, 5:22 p.m. |
Created at: April 27, 2026, 8:17 p.m.