Triple
T824068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenAI Baselines |
E17813
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | reinforcement learning toolkit |
C1717
|
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: reinforcement learning toolkit Context triple: [OpenAI Baselines, instanceOf, reinforcement learning toolkit]
-
A.
machine learning book
A machine learning book is a structured, written resource that explains the theories, algorithms, and practical applications of machine learning to help readers understand and apply data-driven modeling techniques.
-
B.
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.
-
C.
planning library
A planning library is a reusable collection of algorithms, data structures, and tools that support the creation, evaluation, and optimization of plans or schedules within software applications.
-
D.
computational tool
chosen
A computational tool is a software or hardware resource designed to perform, automate, or assist with data processing, analysis, or problem-solving tasks.
-
E.
deep learning model
A deep learning model is a computational architecture composed of multiple layers of interconnected processing units (neurons) that automatically learn hierarchical representations from data to perform tasks such as classification, prediction, or generation.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
Created at: March 1, 2026, 7:38 p.m.