Triple
T4470165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dueling DQN |
E98474
|
entity |
| Predicate | sharesFeatureExtractor |
P56708
|
FINISHED |
| Object | between value and advantage streams |
—
|
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: between value and advantage streams | Statement: [Dueling DQN, sharesFeatureExtractor, between value and advantage streams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesFeatureExtractor Context triple: [Dueling DQN, sharesFeatureExtractor, between value and advantage streams]
-
A.
featuresSample
Indicates that an entity includes or presents a particular sample as one of its components or examples.
-
B.
featuresMethod
Indicates that an entity includes or provides a particular method as part of its functionality or behavior.
-
C.
shareFeature
Indicates that two or more entities possess at least one common attribute, property, or characteristic.
-
D.
sharesFeatureWith
Indicates that two entities have at least one common attribute, property, or characteristic in common.
-
E.
visualFeature
Indicates a relationship where one entity possesses or exhibits a particular visual characteristic or attribute of another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69b356f9afc48190acb50c45a310e072 |
completed | March 13, 2026, 12:14 a.m. |
Created at: March 12, 2026, 11:34 p.m.