Triple

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).

Phrase: multivariate central limit theorem | Statement: [central limit theorem, hasVariant, multivariate central limit theorem]

Target entity: multivariate central limit theorem
Context triple: [central limit theorem, hasVariant, multivariate central limit theorem]

• A. central limit theorem chosen
  The central limit theorem is a fundamental result in probability theory stating that the sum (or average) of many independent, identically distributed random variables tends to follow a normal distribution, regardless of the original variables’ distribution, under mild conditions.
• B. multinomial theorem
  The multinomial theorem is a fundamental algebraic formula that generalizes the binomial theorem to express powers of sums with any number of terms using multinomial coefficients.
• C. Gauss–Markov theorem
  The Gauss–Markov theorem is a fundamental result in statistics stating that, under certain conditions, the ordinary least squares estimator is the best linear unbiased estimator (BLUE) of the coefficients in a linear regression model.
• D. Girsanov theorem
  Girsanov theorem is a fundamental result in stochastic calculus that describes how the dynamics of stochastic processes, particularly Brownian motion, change under an equivalent change of probability measure.
• E. Forward Multiplicity Detector
  The Forward Multiplicity Detector is a specialized ALICE experiment subdetector at CERN designed to measure charged-particle multiplicities at very forward angles in high-energy collisions.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.