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: Finite Markov Chains | Statement: [John G. Kemeny, notableWork, Finite Markov Chains]

Target entity: Finite Markov Chains
Context triple: [John G. Kemeny, notableWork, Finite Markov Chains]

• A. Kemeny–Snell finite Markov chain theory chosen
  Kemeny–Snell finite Markov chain theory is a foundational mathematical framework that rigorously develops the behavior and long-term properties of finite-state Markov chains, widely used in probability theory and stochastic processes.
• B. Markov processes
  Markov processes are stochastic processes in which the future evolution depends only on the present state and not on the past history.
• C. Markov
  Markov is a Russian surname most famously associated with mathematician Andrey Markov, known for his pioneering work on stochastic processes and Markov chains.
• D. Modern Probability Theory and Its Applications
  "Modern Probability Theory and Its Applications" is a foundational textbook by Emanuel Parzen that systematically develops modern probability theory and demonstrates its use in a wide range of statistical and applied contexts.
• E. Pólya’s theorem on random walks
  Pólya’s theorem on random walks is a fundamental result in probability theory stating that simple random walks on one- and two-dimensional lattices are recurrent (almost surely return to the starting point infinitely often), while in three or more dimensions they are transient.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.