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: Recoding America: Why Government Is Failing in the Digital Age and How We Can Do Better | Statement: [Jennifer Pahlka, notableWork, Recoding America: Why Government Is Failing in the Digital Age and How We Can Do Better]

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: Recoding America: Why Government Is Failing in the Digital Age and How We Can Do Better
Triple: [Jennifer Pahlka, notableWork, Recoding America: Why Government Is Failing in the Digital Age and How We Can Do Better]

"Recoding America: Why Government Is Failing in the Digital Age and How We Can Do Better" is a nonfiction book by Jennifer Pahlka that examines why U.S. government systems struggle with modern technology and offers practical reforms to make public services more effective in the digital era.