Triple
T17521193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | REINFORCE |
E426681
|
entity |
| Predicate | gradientEstimator |
P127782
|
FINISHED |
| Object | sampled returns |
—
|
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: sampled returns | Statement: [REINFORCE, gradientEstimator, sampled returns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradientEstimator Context triple: [REINFORCE, gradientEstimator, sampled returns]
-
A.
acceleratingGradient
Indicates that a process, change, or effect is increasing in rate over time, becoming progressively faster or more intense.
-
B.
averageGradient
Indicates the mean rate of change (slope) of a quantity over a specified interval or region.
-
C.
averageGradientFromValloireApprox
Indicates the approximate average gradient measured from the location or point referred to as Valloire.
-
D.
typeOfEstimatorClass
Indicates that one class is an estimator class belonging to, or categorized under, a particular estimator type or class.
-
E.
averageGradientFromColDuLautaretApprox
Indicates the approximate average gradient (slope) calculated from the Col du Lautaret over a specified segment or route.
- 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_69e452d2f79881909556894728e255ab |
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.