Triple

T18300780

Position	Surface form	Disambiguated ID	Type / Status
Subject	Farama Foundation	`E438351`	entity
Predicate	product	`P490`	FINISHED
Object	CleanRL (maintained fork/hosting)	`—`	NE NERFINISHED

How this triple was built (3 steps)

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.

NER Named-entity recognition gpt-5-mini

Instruction

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Input

Phrase: CleanRL (maintained fork/hosting) | Statement: [Farama Foundation, product, CleanRL (maintained fork/hosting)]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: CleanRL (maintained fork/hosting)
Context triple: [Farama Foundation, product, CleanRL (maintained fork/hosting)]

A. OpenAI Baselines
OpenAI Baselines is a collection of high-quality reference implementations of reinforcement learning algorithms released by OpenAI for research and benchmarking.
B. Stable Baselines
Stable Baselines is a popular Python library that provides reliable, well-tested implementations of reinforcement learning algorithms built on top of OpenAI Baselines.
C. ChainerRL
ChainerRL is a reinforcement learning library built on top of the Chainer deep learning framework, providing tools and algorithms for training and evaluating RL agents.
D. OpenAI Gym
OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms through a standardized collection of environments and interfaces.
E. Turbo RL
Turbo RL is a long-wheelbase luxury performance sedan variant of Bentley's Turbo R, offering enhanced rear passenger space and comfort.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: CleanRL (maintained fork/hosting)
Target entity description: CleanRL (maintained fork/hosting) is a Farama Foundation–backed version of the CleanRL deep reinforcement learning library, providing streamlined, well-documented implementations of RL algorithms for research and education.

A. OpenAI Baselines
OpenAI Baselines is a collection of high-quality reference implementations of reinforcement learning algorithms released by OpenAI for research and benchmarking.
B. Stable Baselines
Stable Baselines is a popular Python library that provides reliable, well-tested implementations of reinforcement learning algorithms built on top of OpenAI Baselines.
C. ChainerRL
ChainerRL is a reinforcement learning library built on top of the Chainer deep learning framework, providing tools and algorithms for training and evaluating RL agents.
D. OpenAI Gym
OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms through a standardized collection of environments and interfaces.
E. Turbo RL
Turbo RL is a long-wheelbase luxury performance sedan variant of Bentley's Turbo R, offering enhanced rear passenger space and comfort.
F. None of above. chosen

Provenance (2 batches)

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_69d8b915e3e881909125d760c15d0c29`	completed	April 10, 2026, 8:47 a.m.
NER	Named-entity recognition	`batch_69e5017f63dc819083a675d570620f2f`	completed	April 19, 2026, 4:23 p.m.

Created at: April 10, 2026, 10:35 a.m.