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: strong law of large numbers | Statement: [Khinchin–Kolmogorov theorem, relatedTo, strong law of large numbers]

Target entity: strong law of large numbers
Context triple: [Khinchin–Kolmogorov theorem, relatedTo, strong law of large numbers]

• A. law of large numbers
  The law of large numbers is a fundamental theorem in probability theory stating that as the number of independent trials increases, the sample average converges to the expected value.
• B. almost sure limit theorem chosen
  An almost sure limit theorem is a probabilistic result that describes the precise pathwise asymptotic behavior of random variables, guaranteeing convergence with probability one rather than just in distribution or in expectation.
• C. Erdős–Rényi law of large numbers
  The Erdős–Rényi law of large numbers is a refinement of the classical law of large numbers that provides precise asymptotic behavior and convergence rates for sums of independent random variables, developed by mathematicians Pál Erdős and Alfréd Rényi.
• D. Donsker's invariance principle
  Donsker's invariance principle is a fundamental result in probability theory stating that suitably normalized random walks converge in distribution to Brownian motion, providing a functional central limit theorem.
• E. Berry–Esseen theorem
  The Berry–Esseen theorem is a quantitative refinement of the central limit theorem that provides explicit bounds on the rate of convergence of normalized sums of independent random variables to the normal distribution.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.