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: max-flow min-cut theorem | Statement: [Menger's theorem (graph theory), relatedTo, max-flow min-cut theorem]

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: max-flow min-cut theorem
Triple: [Menger's theorem (graph theory), relatedTo, max-flow min-cut theorem]

The max-flow min-cut theorem is a fundamental result in network flow theory stating that the maximum amount of flow that can be sent from a source to a sink in a flow network equals the minimum capacity of any cut separating them.