Triple
T4470491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DDPG |
E98481
|
entity |
| Predicate | inputToCritic |
P19412
|
FINISHED |
| Object | state-action pair |
—
|
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: state-action pair | Statement: [DDPG, inputToCritic, state-action pair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inputToCritic Context triple: [DDPG, inputToCritic, state-action pair]
-
A.
usedToCritique
Indicates that something is employed as a means to analyze, evaluate, or express disapproval of something else.
-
B.
aimsToCritique
Indicates an intention to analyze and point out faults, limitations, or weaknesses in something.
-
C.
criticizedConstruct
Indicates that one entity expressed disapproval or negative judgment about another entity’s constructed work, idea, or creation.
-
D.
hasCriticism
Indicates that one entity expresses disapproval, objection, or negative evaluation directed toward another entity.
-
E.
input
chosen
Indicates that one entity provides data, signals, or resources that are received or processed by another entity.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:34 p.m.