Triple
T18300763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farama Foundation |
E438351
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Farama Foundation |
—
|
NE NERFINISHED |
How this triple was built (2 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: Farama Foundation | Statement: [Farama Foundation, name, Farama Foundation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farama Foundation Context triple: [Farama Foundation, name, Farama Foundation]
-
A.
Farama Foundation
chosen
The Farama Foundation is an organization that develops and maintains open-source reinforcement learning tools and libraries for the research and engineering community.
-
B.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
-
C.
Jaeger AI
Jaeger AI is an artificial intelligence system associated with the character or entity Loa, likely serving as a specialized digital assistant or operational intelligence within that fictional or conceptual setting.
-
D.
Radiant AI
Radiant AI is the dynamic artificial intelligence system in The Elder Scrolls IV: Oblivion that governs NPC behaviors, schedules, and interactions to create a more lifelike game world.
-
E.
Tianshou
Tianshou is a reinforcement learning library for PyTorch that provides modular, efficient tools and algorithms for training and evaluating RL agents.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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.