Triple

T1382139
Position Surface form Disambiguated ID Type / Status
Subject Gaussian distribution E29361 entity
Predicate isMaximumEntropyDistributionGiven P4228 FINISHED
Object fixed mean and variance 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: fixed mean and variance | Statement: [Gaussian distribution, isMaximumEntropyDistributionGiven, fixed mean and variance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isMaximumEntropyDistributionGiven
Context triple: [Gaussian distribution, isMaximumEntropyDistributionGiven, fixed mean and variance]
  • A. hasEntropy
    Indicates that an entity possesses or is characterized by a certain amount or state of entropy, typically reflecting its degree of disorder or uncertainty.
  • B. isMaximumWhen chosen
    Indicates that a quantity or function reaches its greatest possible value under specified conditions or at a particular point.
  • C. isMaximallySymmetric
    Indicates that the subject exhibits the highest possible degree of symmetry allowed by the relevant structure, constraints, or context.
  • D. hasDistributionFunction
    Indicates that an entity is associated with a specific distribution function that characterizes how its values or occurrences are probabilistically or statistically distributed.
  • E. isHomogeneous
    Indicates that all elements or parts involved share the same type, nature, or characteristics, without significant variation among them.
  • F. None of above.

Provenance (3 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c3361bf08190b3f6bbf82e17685b completed March 1, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69a4befe343c81909f758440a531b5be completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:59 p.m.