Triple
T24081864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Student’s t-distribution |
E596524
|
entity |
| Predicate | isScaleMixtureOf |
P154783
|
FINISHED |
| Object | normal distributions |
—
|
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: normal distributions | Statement: [Student’s t-distribution, isScaleMixtureOf, normal distributions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isScaleMixtureOf Context triple: [Student’s t-distribution, isScaleMixtureOf, normal distributions]
-
A.
maximumLikelihoodEstimatorForScale
Indicates the estimator that yields the most likely value of a scale parameter given observed data.
-
B.
hasScaleParameter
Indicates that an entity is associated with a scale parameter that controls the magnitude or dispersion of a related quantity or distribution.
-
C.
usesMultiScaleFeatures
Indicates that the subject employs information or representations extracted at multiple spatial or temporal scales when performing its operation or decision.
-
D.
isHeavyTailed
Indicates that a distribution has a high probability of extreme values, with tails that decay more slowly than those of an exponential or normal distribution.
-
E.
isScaleInvariant
Indicates that a property, equation, or system remains unchanged when all relevant dimensions or variables are uniformly scaled by a common factor.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc24b0d081909fcae5e34c6e3b98 |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:43 p.m.