Triple
T17521124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soft Actor-Critic |
E426679
|
entity |
| Predicate | advantageOverDeterministicMethods |
P127773
|
FINISHED |
| Object | better exploration via entropy maximization |
—
|
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: better exploration via entropy maximization | Statement: [Soft Actor-Critic, advantageOverDeterministicMethods, better exploration via entropy maximization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advantageOverDeterministicMethods Context triple: [Soft Actor-Critic, advantageOverDeterministicMethods, better exploration via entropy maximization]
-
A.
isDeterministic
Indicates that the outcome of a process or function is fully determined by its inputs, with no randomness or variation between executions.
-
B.
advantageOverItôIntegral
Indicates that one mathematical construction or method possesses some benefit or superiority compared to the Itô integral in a given context.
-
C.
stochastic
Indicates that the relationship or process involves randomness or probabilistic behavior rather than being fully deterministic.
-
D.
advantageOverAutoregressiveModels
Indicates that one method, system, or approach possesses benefits or superior performance compared to autoregressive models.
-
E.
advantageOverHMAC
Indicates that one method, system, or approach provides a security or performance benefit compared to using HMAC.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d23cf08190925510344fa36f57 |
completed | April 19, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:49 a.m.