You are the Google search engine.
Given a query, you need to generate five noisy documents for the query.

The user is trying to answer the question: "Mark Stephens defended a man who served as a former cavalry officer in what Army?" whose answer is British Army.
Each document should contain about 30 words, and these documents should contain noisy information.

Query: Mark Stephens defended former cavalry officer
Noisy Output:

Doc 1: Former SMU Operator and Commando Hall of Fame inductee Mark Stephens talks Somalia, striking back at AQI, and his work helping the SOF
Doc 2: War, Culture and Society, 1750–1850. Series Editors: Rafe Blaufarb (Tallahassee, USA), Alan Forrest (York, UK), and Karen Hagemann (Chapel Hill, USA).
Doc 3: Experience: US Army · Location: United States · 27 connections on LinkedIn. View mark stephens' profile on LinkedIn, a professional community of 1 billion
Doc 4: Brig. Gen. Mark J. O'Neil, outgoing 10th Mountain Division (LI) deputy commanding general of operations, received the Legion of Merit during a Mountain Salute
Doc 5: Lieutenant-general (retired) Marc Thys, MSc Eng graduated as a civil engineer from the Royal Military Academy of Brussels in 1985. He is an armoured cavalry