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: SMPTE ST 2086 mastering display metadata standard | Statement: [SMPTE ST 2084, contrastWith, SMPTE ST 2086 mastering display metadata standard]

Target entity: SMPTE ST 2086 mastering display metadata standard
Context triple: [SMPTE ST 2084, contrastWith, SMPTE ST 2086 mastering display metadata standard]

• A. SMPTE ST 2084
  SMPTE ST 2084 is a high-dynamic-range (HDR) electro‑optical transfer function standard, also known as Perceptual Quantizer (PQ), widely used in modern HDR video systems such as HDR10 and Dolby Vision.
• B. SMPTE ST 2059
  SMPTE ST 2059 is a professional media industry standard that defines how to use IEEE 1588 Precision Time Protocol to synchronize clocks and signals across IP-based audio, video, and broadcast systems.
• C. SMPTE 421M
  SMPTE 421M is the formal SMPTE standard that defines the VC-1 video compression format used for high-definition video encoding and distribution.
• D. SMPTE ST 2022
  SMPTE ST 2022 is a family of standards from the Society of Motion Picture and Television Engineers that defines the transport of professional audio, video, and ancillary data over IP networks, including methods for encapsulation, error correction, and redundancy.
• E. SMPTE ST 2067
  SMPTE ST 2067, also known as the Interoperable Master Format (IMF), is a standardized framework for file-based digital cinema and television mastering that enables efficient versioning, distribution, and archiving of audiovisual content.
• 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: SMPTE ST 2086 mastering display metadata standard
Triple: [SMPTE ST 2084, contrastWith, SMPTE ST 2086 mastering display metadata standard]

SMPTE ST 2086 is a standard that defines static mastering display color volume metadata for HDR content, specifying the color primaries, white point, and luminance characteristics of the reference display used during mastering.

Target entity: SMPTE ST 2086 mastering display metadata standard
Target entity description: SMPTE ST 2086 is a standard that defines static mastering display color volume metadata for HDR content, specifying the color primaries, white point, and luminance characteristics of the reference display used during mastering.

• A. SMPTE ST 2084
  SMPTE ST 2084 is a high-dynamic-range (HDR) electro‑optical transfer function standard, also known as Perceptual Quantizer (PQ), widely used in modern HDR video systems such as HDR10 and Dolby Vision.
• B. SMPTE ST 2059
  SMPTE ST 2059 is a professional media industry standard that defines how to use IEEE 1588 Precision Time Protocol to synchronize clocks and signals across IP-based audio, video, and broadcast systems.
• C. SMPTE 421M
  SMPTE 421M is the formal SMPTE standard that defines the VC-1 video compression format used for high-definition video encoding and distribution.
• D. SMPTE ST 2022
  SMPTE ST 2022 is a family of standards from the Society of Motion Picture and Television Engineers that defines the transport of professional audio, video, and ancillary data over IP networks, including methods for encapsulation, error correction, and redundancy.
• E. SMPTE ST 2067
  SMPTE ST 2067, also known as the Interoperable Master Format (IMF), is a standardized framework for file-based digital cinema and television mastering that enables efficient versioning, distribution, and archiving of audiovisual content.
• F. None of above. chosen