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 learning | Statement: [Donald Hebb, knownFor, Hebbian learning]

Target entity: Hebbian learning
Context triple: [Donald Hebb, knownFor, Hebbian learning]

• 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. Perceptrons
  Perceptrons is a seminal 1969 book by Marvin Minsky and Seymour Papert that critically analyzes the capabilities and limitations of early neural network models, profoundly influencing the development of artificial intelligence and machine learning.
• C. 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.
• D. Neurolab
  Neurolab was a 1998 Space Shuttle STS-90 mission dedicated to studying how microgravity affects the nervous system and brain function in humans and animals.
• E. “Learning representations by back-propagating errors”
  “Learning representations by back-propagating errors” is a landmark 1986 research paper that popularized the backpropagation algorithm for training multi-layer neural networks, helping to launch the modern field of deep learning.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.