Triple
T4425330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arcade Learning Environment |
E95193
|
entity |
| Predicate | taskType |
P55918
|
FINISHED |
| Object | single-agent reinforcement learning tasks |
—
|
LITERAL FINISHED |
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: single-agent reinforcement learning tasks | Statement: [Arcade Learning Environment, taskType, single-agent reinforcement learning tasks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taskType Context triple: [Arcade Learning Environment, taskType, single-agent reinforcement learning tasks]
-
A.
typeOfWork
Indicates the kind or category of work associated with or performed by an entity.
-
B.
canTask
Indicates that an entity has the ability or permission to perform a specified task.
-
C.
taskForce
Indicates a collaborative relationship in which multiple entities are formally grouped to work together as a specialized team on a specific task or mission.
-
D.
typeOfProject
Indicates the specific category or kind of project that an entity is associated with or classified under.
-
E.
typeOfMission
Indicates the specific category or nature of a mission that an entity is associated with or engaged in.
- F. None of above. chosen
Provenance (4 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554e40ec8190982acc0948da2f42 |
completed | March 13, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69b34f5eabe88190a12b244ea71e46d6 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3505a87b4819083fbbd58870e520b |
completed | March 12, 2026, 11:46 p.m. |
Created at: March 12, 2026, 11:30 p.m.