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: [law of accelerating returns, relatedTo, Moore's law]

Target entity: Moore's law
Context triple: [law of accelerating returns, relatedTo, 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. Koomey's law
  Koomey's law is an empirical observation that the energy efficiency of computing—measured as computations per unit of energy—has historically doubled roughly every 1.5 years.
• C. 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.
• D. Dennard scaling
  Dennard scaling is a principle in microelectronics stating that as transistors shrink, their power density stays constant, allowing higher clock speeds and more transistors per chip without increasing overall power consumption.
• E. “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.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.