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: Fast Interaction Trigger detector | Statement: [ALICE experiment, hasSubsystem, Fast Interaction Trigger detector]

Target entity: Fast Interaction Trigger detector
Context triple: [ALICE experiment, hasSubsystem, Fast Interaction Trigger detector]

• A. Forward Multiplicity Detector
  The Forward Multiplicity Detector is a specialized ALICE experiment subdetector at CERN designed to measure charged-particle multiplicities at very forward angles in high-energy collisions.
• B. YOLO
  "YOLO" is a comedic hip-hop song and music video by The Lonely Island, featuring Adam Levine and Kendrick Lamar, that parodies the phrase "you only live once" by humorously promoting extreme caution and risk avoidance.
• C. DETR
  DETR is the acronym for the former UK government Department of the Environment, Transport and the Regions, which was responsible for environmental policy, transport, and regional affairs.
• D. Long-term Recurrent Convolutional Networks for Visual Recognition and Description
  "Long-term Recurrent Convolutional Networks for Visual Recognition and Description" is a research paper that introduces a deep learning architecture combining convolutional and recurrent neural networks to perform tasks like video recognition and automatic image or video captioning.
• E. Kanade–Lucas–Tomasi feature tracker
  The Kanade–Lucas–Tomasi feature tracker is a widely used computer vision algorithm for robustly tracking distinctive image features across video frames, building on the Lucas–Kanade optical flow method with Tomasi’s feature selection criteria.
• 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: Fast Interaction Trigger detector
Triple: [ALICE experiment, hasSubsystem, Fast Interaction Trigger detector]

The Fast Interaction Trigger detector is a specialized subdetector of the ALICE experiment at CERN designed to rapidly identify and select particle collision events of interest for data acquisition.

Target entity: Fast Interaction Trigger detector
Target entity description: The Fast Interaction Trigger detector is a specialized subdetector of the ALICE experiment at CERN designed to rapidly identify and select particle collision events of interest for data acquisition.

• A. Forward Multiplicity Detector
  The Forward Multiplicity Detector is a specialized ALICE experiment subdetector at CERN designed to measure charged-particle multiplicities at very forward angles in high-energy collisions.
• B. YOLO
  "YOLO" is a comedic hip-hop song and music video by The Lonely Island, featuring Adam Levine and Kendrick Lamar, that parodies the phrase "you only live once" by humorously promoting extreme caution and risk avoidance.
• C. DETR
  DETR is the acronym for the former UK government Department of the Environment, Transport and the Regions, which was responsible for environmental policy, transport, and regional affairs.
• D. Long-term Recurrent Convolutional Networks for Visual Recognition and Description
  "Long-term Recurrent Convolutional Networks for Visual Recognition and Description" is a research paper that introduces a deep learning architecture combining convolutional and recurrent neural networks to perform tasks like video recognition and automatic image or video captioning.
• E. Kanade–Lucas–Tomasi feature tracker
  The Kanade–Lucas–Tomasi feature tracker is a widely used computer vision algorithm for robustly tracking distinctive image features across video frames, building on the Lucas–Kanade optical flow method with Tomasi’s feature selection criteria.
• F. None of above. chosen