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: Hebbian theory | Statement: [Hebb Award, relatedTo, Hebbian theory]

Target entity: Hebbian theory
Context triple: [Hebb Award, relatedTo, Hebbian theory]

• A. Hebbian learning chosen
  Hebbian learning is a neurobiological and computational learning principle often summarized as "cells that fire together wire together," where the connection between neurons is strengthened when they are activated simultaneously.
• B. connectionism
  Connectionism is a cognitive science and artificial intelligence approach that models mental processes using networks of simple, interconnected units whose learning and behavior emerge from patterns of activation and weight adjustment.
• C. neuron doctrine
  The neuron doctrine is the fundamental neuroscience principle that the nervous system is composed of discrete, individual cells (neurons) that communicate via specialized connections rather than forming a continuous network.
• D. Hopfield networks
  Hopfield networks are recurrent artificial neural networks that serve as content-addressable memory systems, storing patterns as stable states and retrieving them through dynamics that minimize an energy function.
• E. Gibsonian theory of perceptual learning
  The Gibsonian theory of perceptual learning is a psychological framework proposing that perception improves through direct interaction with the environment, as individuals learn to detect increasingly subtle and useful information (or "invariants") in sensory input without relying on internal representations.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.