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: Fact, Fiction, and Forecast | Statement: [new riddle of induction, proposedInWork, Fact, Fiction, and Forecast]

Target entity: Fact, Fiction, and Forecast
Context triple: [new riddle of induction, proposedInWork, Fact, Fiction, and Forecast]

• A. Fact, Fiction, and Forecast chosen
  Fact, Fiction, and Forecast is a seminal 1954 work of analytic philosophy by Nelson Goodman, best known for introducing the "new riddle of induction" and the concept of "grue."
• B. The Challenge of Facts
  "The Challenge of Facts" is an influential essay by American sociologist and classical liberal thinker William Graham Sumner that critiques moralistic interference in social and economic processes and defends empirical, scientific analysis of society.
• C. Fight for Foresight
  "Fight for Foresight" is the official fight song of the Portland State Vikings football program, played to rally the team and fans during games and school events.
• D. Before the Fact
  Before the Fact is a 1932 psychological crime novel by Anthony Berkeley Cox (writing as Francis Iles), best known as the dark, suspenseful source material for Alfred Hitchcock’s film "Suspicion."
• E. The Signal and the Noise
  The Signal and the Noise is a book by statistician Nate Silver that explores how to make better predictions by distinguishing meaningful signals from misleading noise in data across fields like politics, economics, and science.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.