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: G(n,p) model | Statement: [Erdős–Rényi model, hasVariant, G(n,p) model]

Target entity: G(n,p) model
Context triple: [Erdős–Rényi model, hasVariant, G(n,p) model]

• A. Erdős–Rényi model chosen
  The Erdős–Rényi model is a fundamental random graph model in probability theory and network science, where edges between pairs of nodes are included independently with a fixed probability.
• B. Erdős–Rényi law of large numbers
  The Erdős–Rényi law of large numbers is a refinement of the classical law of large numbers that provides precise asymptotic behavior and convergence rates for sums of independent random variables, developed by mathematicians Pál Erdős and Alfréd Rényi.
• C. Pólya’s urn model
  Pólya’s urn model is a classic probabilistic scheme in which drawing and then reinforcing the color of balls in an urn produces rich-get-richer dynamics and illustrates concepts like contagion, dependence, and random reinforcement.
• D. Erdős–Stone theorem
  The Erdős–Stone theorem is a fundamental result in extremal graph theory that asymptotically determines the maximum number of edges in an n-vertex graph that avoids containing a given subgraph.
• E. Erdős–Gallai theorem
  The Erdős–Gallai theorem is a fundamental result in graph theory that characterizes which sequences of nonnegative integers can occur as the degree sequences of simple graphs.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.