Triple
T17521106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soft Actor-Critic |
E426679
|
entity |
| Predicate | updateStyle |
P82242
|
FINISHED |
| Object | off-policy updates |
—
|
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: off-policy updates | Statement: [Soft Actor-Critic, updateStyle, off-policy updates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: updateStyle Context triple: [Soft Actor-Critic, updateStyle, off-policy updates]
-
A.
editingStyle
Indicates the characteristic manner or approach used when revising, arranging, or refining content.
-
B.
alterationStyles
chosen
Indicates the styles, methods, or types of modifications or alterations applied to an entity.
-
C.
usedStyle
Indicates that one entity employed or applied a particular style, method, or manner associated with another entity.
-
D.
stylingTool
Indicates a tool or instrument used to style, shape, or arrange something (typically hair, clothing, or design elements).
-
E.
uniformStyle
Indicates that the related entities share the same or a consistent style, pattern, or formatting.
- 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_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. |
Created at: April 10, 2026, 5:49 a.m.