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: Blum–Blum–Shub generator | Statement: [Michael Shub, notableConcept, Blum–Blum–Shub generator]

Target entity: Blum–Blum–Shub generator
Context triple: [Michael Shub, notableConcept, Blum–Blum–Shub generator]

• A. Blum–Blum–Shub pseudorandom number generator chosen
  The Blum–Blum–Shub pseudorandom number generator is a cryptographically secure generator based on the hardness of factoring large composite numbers, widely studied in theoretical computer science and cryptography.
• B. Blum–Micali pseudorandom number generator
  The Blum–Micali pseudorandom number generator is a foundational cryptographic algorithm that produces provably secure pseudorandom bits based on number-theoretic hardness assumptions.
• C. Rabin cryptosystem
  The Rabin cryptosystem is a public-key encryption scheme based on the hardness of integer factorization, notable for its provable security equivalence to factoring and its similarity to RSA.
• D. Miller algorithm
  The Miller algorithm is an efficient computational method used in elliptic curve cryptography to evaluate pairings such as the Weil and Tate pairings.
• E. Fiat–Shamir heuristic
  The Fiat–Shamir heuristic is a cryptographic technique that transforms interactive proof systems into non-interactive ones using hash functions, widely used in digital signatures and zero-knowledge proofs.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.