Triple
T4470249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A2C |
E98476
|
entity |
| Predicate | usesObjective |
P56715
|
FINISHED |
| Object | policy gradient objective |
—
|
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: policy gradient objective | Statement: [A2C, usesObjective, policy gradient objective]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesObjective Context triple: [A2C, usesObjective, policy gradient objective]
-
A.
objectiveIncludes
Indicates that a broader objective encompasses or contains a specific sub-objective, component, or element as part of its scope.
-
B.
followsObjective
Indicates that one entity pursues, adheres to, or acts in accordance with the goal, plan, or objective defined by another entity.
-
C.
notableObjective
Indicates that an entity has a significant, distinguished, or widely recognized goal, purpose, or target associated with it.
-
D.
opponentObjective
Indicates that one entity is the target or goal that an opposing entity aims to counter, defeat, or prevent from succeeding.
-
E.
protectionObjective
Indicates that one entity has the goal or purpose of safeguarding, defending, or preserving another entity or its interests.
- 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.