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: Moore's law | Statement: [Cramming more components onto integrated circuits, introducesConcept, Moore's law]

Target entity: Moore's law
Context triple: [Cramming more components onto integrated circuits, introducesConcept, Moore's law]

• A. Moore's law chosen
  Moore's law is an observation and prediction that the number of transistors on an integrated circuit—and thus computing power—tends to roughly double at regular intervals, driving exponential growth in digital technology.
• B. Wirth’s law
  Wirth’s law is the observation that software tends to become slower more quickly than hardware becomes faster, often negating the benefits of improved computing performance.
• C. “Cramming more components onto integrated circuits”
  “Cramming more components onto integrated circuits” is the landmark 1965 article by Gordon E. Moore that introduced the observation later known as Moore’s Law, predicting the exponential growth of transistor density on integrated circuits.
• D. Amdahl's law
  Amdahl's law is a formula in computer architecture and parallel computing that predicts the maximum performance improvement achievable by parallelizing parts of a system, given that some portion must remain serial.
• E. Kluge's law
  Kluge's law is a proposed sound law in Proto-Germanic historical linguistics that explains the development of certain geminate consonants from earlier consonant clusters.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.