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: Total Recall franchise | Statement: [Total Recall 2070, spinOffFrom, Total Recall franchise]

Target entity: Total Recall franchise
Context triple: [Total Recall 2070, spinOffFrom, Total Recall franchise]

• A. Total Recall 2070
  Total Recall 2070 is a late-1990s science fiction television series that blends themes and aesthetics from Philip K. Dick-inspired works like Total Recall and Blade Runner into a cyberpunk detective narrative.
• B. Total Recall chosen
  Total Recall is a 1990 science fiction action film, loosely based on a Philip K. Dick story, in which Arnold Schwarzenegger plays a construction worker who discovers his memories and identity may have been artificially implanted.
• C. Total Recall
  Total Recall is a crime novel by Sara Paretsky featuring private investigator V. I. Warshawski as she uncovers long-buried secrets tied to Holocaust survivors and identity fraud.
• D. Total Recall (2012 film)
  Total Recall (2012 film) is a science fiction action movie starring Colin Farrell that reimagines Philip K. Dick’s memory-bending story in a futuristic, dystopian setting.
• E. Déjà Vu franchise
  The Déjà Vu franchise is a media series centered around the science-fiction thriller concept of reliving or altering past events, typically involving time loops, memory, and fate.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.