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: Hotelling’s T-squared distribution | Statement: [Harold Hotelling, hasConceptNamedAfter, Hotelling’s T-squared distribution]

Target entity: Hotelling’s T-squared distribution
Context triple: [Harold Hotelling, hasConceptNamedAfter, Hotelling’s T-squared distribution]

• A. Hotelling’s T-squared distribution chosen
  Hotelling’s T-squared distribution is a multivariate generalization of Student’s t-distribution used primarily for hypothesis testing and constructing confidence regions for mean vectors in multivariate statistics.
• B. Hotelling
  Hotelling is a surname most notably associated with Harold Hotelling, an influential American statistician and economist known for Hotelling's law and contributions to multivariate analysis.
• C. Frisch–Waugh–Lovell theorem
  The Frisch–Waugh–Lovell theorem is a fundamental result in econometrics that shows how the coefficients of a multiple linear regression can be obtained by first partialling out (regressing out) other explanatory variables.
• D. Cramér–Rao bound
  The Cramér–Rao bound is a fundamental result in statistical estimation theory that gives a lower limit on the variance of any unbiased estimator of a parameter, characterizing the best possible precision achievable.
• E. Edgeworth expansion
  Edgeworth expansion is an asymptotic series that refines the central limit theorem by providing higher-order approximations to the distribution of normalized sums of random variables.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.