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: Little-o notation | Statement: [Du Bois-Reymond theory of orders of infinity, relatedTo, Little-o notation]

Target entity: Little-o notation
Context triple: [Du Bois-Reymond theory of orders of infinity, relatedTo, Little-o notation]

• A. Big-O notation
  Big-O notation is a mathematical tool used in computer science to describe how the running time or space requirements of an algorithm grow relative to the size of its input.
• B. Stirling's approximation
  Stirling's approximation is a classical formula in mathematics that provides an efficient asymptotic estimate for factorials and the gamma function, especially for large arguments.
• C. Knuth’s up-arrow notation
  Knuth’s up-arrow notation is a mathematical notation introduced by Donald Knuth to concisely represent very large integers using iterated exponentiation and its higher-order generalizations.
• D. 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.
• E. Littlewood’s three principles of real analysis
  Littlewood’s three principles of real analysis are a set of heuristic guidelines that clarify how measurable sets and functions can be approximated and simplified, emphasizing that they are nearly finite, nearly countable, and nearly continuous.
• F. None of above. chosen
• G. Unsure - the case is ambiguous/there is not enough information to decide.

Target entity: Little-o notation
Target entity description: Little-o notation is a mathematical notation used in analysis and asymptotic theory to describe functions that grow strictly slower than a given reference function as the input approaches a limit.

• A. Big-O notation
  Big-O notation is a mathematical tool used in computer science to describe how the running time or space requirements of an algorithm grow relative to the size of its input.
• B. Stirling's approximation
  Stirling's approximation is a classical formula in mathematics that provides an efficient asymptotic estimate for factorials and the gamma function, especially for large arguments.
• C. Knuth’s up-arrow notation
  Knuth’s up-arrow notation is a mathematical notation introduced by Donald Knuth to concisely represent very large integers using iterated exponentiation and its higher-order generalizations.
• D. 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.
• E. Littlewood’s three principles of real analysis
  Littlewood’s three principles of real analysis are a set of heuristic guidelines that clarify how measurable sets and functions can be approximated and simplified, emphasizing that they are nearly finite, nearly countable, and nearly continuous.
• F. None of above. chosen