Triple
T1693958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igor Babuschkin |
E36612
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | AI researcher |
C3390
|
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: AI researcher Context triple: [Igor Babuschkin, instanceOf, AI researcher]
-
A.
machine learning researcher
chosen
A machine learning researcher is a specialist who develops, analyzes, and improves algorithms and models that enable computers to learn from data and make predictions or decisions.
-
B.
researcher
A researcher is an individual who systematically investigates questions or problems using structured methods to generate new knowledge, validate existing theories, or develop practical solutions.
-
C.
self-taught scientist
A self-taught scientist is an individual who independently acquires scientific knowledge and skills outside formal education systems and applies them to investigate, understand, or contribute to scientific fields.
-
D.
medical researcher
A medical researcher is a professional who systematically investigates diseases, treatments, and health-related phenomena to generate new knowledge and improve medical care.
-
E.
director of research institution
A director of a research institution is the senior leader responsible for setting the organization’s scientific vision, securing funding, overseeing research programs and staff, and ensuring the institution’s work advances knowledge and meets strategic goals.
- 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
Created at: March 4, 2026, 7:29 p.m.