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: Natural Language Processing Specialization | Statement: [Deeplearning.ai, hasNotableCourse, Natural Language Processing Specialization]

Target entity: Natural Language Processing Specialization
Context triple: [Deeplearning.ai, hasNotableCourse, Natural Language Processing Specialization]

• A. MS in Machine Learning
  MS in Machine Learning is a specialized graduate program at Carnegie Mellon University focused on advanced theory and applications of machine learning and statistical methods for building intelligent systems.
• B. Language Technology Unit
  The Language Technology Unit is a specialized division focused on developing and promoting language technologies and computational tools for Indian languages under the Central Institute of Indian Languages.
• C. NLU
  NLU is the IATA airport code for Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
• D. Natural Language framework
  The Natural Language framework is an Apple developer framework that provides tools for natural language processing tasks such as tokenization, tagging, language identification, and text classification on Apple platforms.
• E. 言語情報科学専攻
  言語情報科学専攻は、東京大学大学院総合文化研究科に設置された、言語と情報・コミュニケーションを学際的に研究・教育する大学院専攻である。
• 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: Natural Language Processing Specialization
Triple: [Deeplearning.ai, hasNotableCourse, Natural Language Processing Specialization]

The Natural Language Processing Specialization is an online course series that teaches core NLP concepts and modern deep learning techniques for processing and understanding human language.

Target entity: Natural Language Processing Specialization
Target entity description: The Natural Language Processing Specialization is an online course series that teaches core NLP concepts and modern deep learning techniques for processing and understanding human language.

• A. MS in Machine Learning
  MS in Machine Learning is a specialized graduate program at Carnegie Mellon University focused on advanced theory and applications of machine learning and statistical methods for building intelligent systems.
• B. Language Technology Unit
  The Language Technology Unit is a specialized division focused on developing and promoting language technologies and computational tools for Indian languages under the Central Institute of Indian Languages.
• C. NLU
  NLU is the IATA airport code for Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
• D. Natural Language framework
  The Natural Language framework is an Apple developer framework that provides tools for natural language processing tasks such as tokenization, tagging, language identification, and text classification on Apple platforms.
• E. 言語情報科学専攻
  言語情報科学専攻は、東京大学大学院総合文化研究科に設置された、言語と情報・コミュニケーションを学際的に研究・教育する大学院専攻である。
• F. None of above. chosen