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: Marie of France, Duchess of Brabant | Statement: [Elizabeth of France, Queen of Navarre, sibling, Marie of France, Duchess of Brabant]

Target entity: Marie of France, Duchess of Brabant
Context triple: [Elizabeth of France, Queen of Navarre, sibling, Marie of France, Duchess of Brabant]

• A. Marie of Burgundy, Duchess of Bar
  Marie of Burgundy, Duchess of Bar, was a 14th-century French noblewoman of the ducal House of Burgundy who became Duchess of Bar through her marriage to Edward I, Count of Bar.
• B. Marie of Brabant
  Marie of Brabant was a 14th-century noblewoman from the House of Brabant who became Duchess of Bavaria through her marriage to Louis II, Duke of Bavaria.
• C. Marie of France, Duchess of Bar
  Marie of France, Duchess of Bar was a 14th-century French princess, daughter of King John II of France, who became Duchess of Bar through marriage and played a role in the dynastic politics of late medieval France.
• D. Margaret of Burgundy
  Margaret of Burgundy was a powerful late 15th-century duchess and Yorkist supporter who played a key role in backing pretenders to the English throne against the Tudor monarchy.
• E. Margaret of Burgundy
  Margaret of Burgundy was a French noblewoman of the influential Burgundian dynasty who became Duchess of Brittany through her marriage to Arthur de Richemont (later Duke Arthur III of Brittany).
• 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: Marie of France, Duchess of Brabant
Triple: [Elizabeth of France, Queen of Navarre, sibling, Marie of France, Duchess of Brabant]

Marie of France, Duchess of Brabant, was a 13th-century French princess of the Capetian dynasty who became duchess through marriage into the ducal house of Brabant.

Target entity: Marie of France, Duchess of Brabant
Target entity description: Marie of France, Duchess of Brabant, was a 13th-century French princess of the Capetian dynasty who became duchess through marriage into the ducal house of Brabant.

• A. Marie of Burgundy, Duchess of Bar
  Marie of Burgundy, Duchess of Bar, was a 14th-century French noblewoman of the ducal House of Burgundy who became Duchess of Bar through her marriage to Edward I, Count of Bar.
• B. Marie of Brabant
  Marie of Brabant was a 14th-century noblewoman from the House of Brabant who became Duchess of Bavaria through her marriage to Louis II, Duke of Bavaria.
• C. Marie of France, Duchess of Bar
  Marie of France, Duchess of Bar was a 14th-century French princess, daughter of King John II of France, who became Duchess of Bar through marriage and played a role in the dynastic politics of late medieval France.
• D. Margaret of Burgundy
  Margaret of Burgundy was a French noblewoman of the influential Burgundian dynasty who became Duchess of Brittany through her marriage to Arthur de Richemont (later Duke Arthur III of Brittany).
• E. Margaret of Burgundy
  Margaret of Burgundy was a powerful late 15th-century duchess and Yorkist supporter who played a key role in backing pretenders to the English throne against the Tudor monarchy.
• F. None of above. chosen