Triple
T32747303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jensen–Shannon divergence |
E837388
|
entity |
| Predicate | usesMixtureDistribution |
P184024
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Jensen–Shannon divergence, usesMixtureDistribution, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMixtureDistribution Context triple: [Jensen–Shannon divergence, usesMixtureDistribution, true]
-
A.
isScaleMixtureOf
Indicates that one distribution or function is formed by mixing or combining scaled versions of another distribution or function, typically via a weighted or probabilistic scheme.
-
B.
mixtureDistributionDefinition
Indicates that a probability distribution is defined as a mixture of component distributions combined according to specified mixing weights.
-
C.
hasDistributionFunction
Indicates that an entity is associated with a specific distribution function that characterizes how its values or occurrences are probabilistically or statistically distributed.
-
D.
isIndependentDistribution
Indicates that one distribution occurs or is defined without being influenced by, or dependent on, another distribution.
-
E.
distributionAssumption
Indicates an assumed or specified statistical distribution that underlies a model, variable, or process in the relationship.
- 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 1, 2026, 1:12 a.m.