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: Tomasi–Kanade feature selection criterion | Statement: [Kanade–Lucas–Tomasi feature tracker, uses, Tomasi–Kanade feature selection criterion]

Target entity: Tomasi–Kanade feature selection criterion
Context triple: [Kanade–Lucas–Tomasi feature tracker, uses, Tomasi–Kanade feature selection criterion]

• A. Kanade–Lucas–Tomasi feature tracker chosen
  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.
• B. Lucas–Kanade optical flow algorithm
  The Lucas–Kanade optical flow algorithm is a widely used computer vision method for estimating the motion of features between consecutive images by assuming locally constant motion and solving a least-squares problem.
• C. ANSAC
  ANSAC is the abbreviation for the Applied and Natural Science Accreditation Commission, a body that accredits applied and natural science degree programs.
• D. S-100 feature catalogue framework
  The S-100 feature catalogue framework is a standardized model and methodology developed by the IHO for defining, organizing, and encoding geospatial features and attributes in modern hydrographic and marine information products.
• E. ILD detector concept
  The ILD detector concept is a proposed high-precision particle physics detector design for the International Linear Collider, optimized for detailed reconstruction of complex collision events.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.