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: Taxi (2004 film universe) | Statement: [Mrs. Washburn – Ann-Margret, fictionalUniverse, Taxi (2004 film universe)]

Target entity: Taxi (2004 film universe)
Context triple: [Mrs. Washburn – Ann-Margret, fictionalUniverse, Taxi (2004 film universe)]

• A. Taxi (2004 film)
  Taxi (2004 film) is an American action-comedy movie about a speedy New York City cab driver who teams up with a bumbling cop to catch a gang of bank robbers.
• B. Taxi 3
  Taxi 3 is a 2003 French action-comedy film in the Taxi franchise, following Marseille’s speed-obsessed taxi driver and a bumbling police inspector as they take on a gang of high-tech bank robbers.
• C. Taxi 4
  Taxi 4 is a 2007 French action-comedy film in the Taxi franchise, following Marseille taxi driver Daniel and his police friend Émilien as they bungle the transfer of a dangerous criminal.
• D. Taxi 2
  Taxi 2 is a 2000 French action-comedy film and sequel in the Taxi franchise, known for its high-speed car chases and humorous storyline set in Marseille.
• E. Taxi 5
  Taxi 5 is a 2018 French action-comedy film that continues the high-speed, humor-filled adventures of Marseille taxi drivers in the popular Taxi franchise.
• F. None of above. chosen
• G. Unsure - the case is ambiguous/there is not enough information to decide.

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Entity: Taxi (2004 film universe)
Triple: [Mrs. Washburn – Ann-Margret, fictionalUniverse, Taxi (2004 film universe)]

The Taxi (2004 film universe) is the comedic action setting of the 2004 film "Taxi," centered on a reckless New York City detective and a speedy cab driver who team up to take down a gang of bank-robbing supermodels.

Target entity: Taxi (2004 film universe)
Target entity description: The Taxi (2004 film universe) is the comedic action setting of the 2004 film "Taxi," centered on a reckless New York City detective and a speedy cab driver who team up to take down a gang of bank-robbing supermodels.

• A. Taxi (2004 film) chosen
  Taxi (2004 film) is an American action-comedy movie about a speedy New York City cab driver who teams up with a bumbling cop to catch a gang of bank robbers.
• B. Taxi 3
  Taxi 3 is a 2003 French action-comedy film in the Taxi franchise, following Marseille’s speed-obsessed taxi driver and a bumbling police inspector as they take on a gang of high-tech bank robbers.
• C. Taxi 4
  Taxi 4 is a 2007 French action-comedy film in the Taxi franchise, following Marseille taxi driver Daniel and his police friend Émilien as they bungle the transfer of a dangerous criminal.
• D. Taxi 2
  Taxi 2 is a 2000 French action-comedy film and sequel in the Taxi franchise, known for its high-speed car chases and humorous storyline set in Marseille.
• E. Taxi 5
  Taxi 5 is a 2018 French action-comedy film that continues the high-speed, humor-filled adventures of Marseille taxi drivers in the popular Taxi franchise.
• F. None of above.