Triple
T17521114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soft Actor-Critic |
E426679
|
entity |
| Predicate | criticUpdateBasedOn |
P127771
|
FINISHED |
| Object | soft Bellman backup |
—
|
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: soft Bellman backup | Statement: [Soft Actor-Critic, criticUpdateBasedOn, soft Bellman backup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criticUpdateBasedOn Context triple: [Soft Actor-Critic, criticUpdateBasedOn, soft Bellman backup]
-
A.
criticUpdateCount
Indicates the number of times a critic has updated or revised their evaluation or review.
-
B.
criticObjective
Indicates that an entity serves as the target or focus of a critic’s evaluation, commentary, or judgment.
-
C.
criticOutputs
Indicates that a critic produces or provides an evaluative response, judgment, or commentary about a target.
-
D.
usedToCritique
Indicates that something is employed as a means to analyze, evaluate, or express disapproval of something else.
-
E.
outputOfCritic
Indicates that something is the result or product generated by a critic (e.g., a critique, evaluation, or feedback output).
- 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.