Triple
T17585889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asynchronous Advantage Actor-Critic |
E428319
|
entity |
| Predicate | parallelism |
P117681
|
FINISHED |
| Object | multiple parallel agents |
—
|
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: multiple parallel agents | Statement: [Asynchronous Advantage Actor-Critic, parallelism, multiple parallel agents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parallelism Context triple: [Asynchronous Advantage Actor-Critic, parallelism, multiple parallel agents]
-
A.
parallelismType
chosen
Indicates the specific kind or classification of parallel relationship that holds between two entities or processes.
-
B.
parallel
Indicates that two or more entities maintain a constant separation and direction without intersecting or converging.
-
C.
parallelPassage
Indicates that one text segment corresponds closely in content or structure to another, such that they can be considered parallel versions or accounts of the same material.
-
D.
structureParallels
Indicates that the structural organization or arrangement of one entity closely corresponds to or mirrors that of another.
-
E.
parity
Indicates that two quantities share the same evenness or oddness, or more generally that they have equivalent status or value in a given context.
- F. None of above.
Provenance (3 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463d22f908190ae0f1eeafbe54459 |
completed | April 19, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fff0348190b899a32da537eaca |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.