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: Chebyshev–Cantelli inequalities | Statement: [Chebyshev inequalities, alsoKnownAs, Chebyshev–Cantelli inequalities]

Target entity: Chebyshev–Cantelli inequalities
Context triple: [Chebyshev inequalities, alsoKnownAs, Chebyshev–Cantelli inequalities]

• A. Chebyshev inequalities chosen
  Chebyshev inequalities are probabilistic bounds that limit how much a random variable’s values can deviate from its mean in terms of its variance.
• B. Azuma–Hoeffding inequality
  The Azuma–Hoeffding inequality is a concentration inequality that bounds the probability of large deviations for martingales with bounded differences, generalizing Hoeffding’s inequality to dependent sequences.
• C. Chebyshev’s sum inequality
  Chebyshev’s sum inequality is a mathematical inequality that provides bounds on the sum of products of similarly ordered sequences, widely used in analysis and probability theory.
• D. 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.
• E. Bennett inequality
  Bennett inequality is a probabilistic bound that provides exponential tail estimates for sums of independent random variables, refining classical concentration inequalities like Bernstein’s.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.