In the following task, you are given a yes/no question, its answer, and additional information which includes a description of a key term in the question and several facts. Your task is to "decompose the question"i.e. write the steps required to construct the given answer where each step is a question that can be answered using Wikipedia articles. To decompose the question, think of a decomposition strategy you could apply to answer the question through a search against Wikipedia. The decomposition strategy might not be obvious for some questions. For this reason, you are provided with additional information. You are not required to write decompositions that exactly match the provided facts, they are only meant as guidance. If the facts are too noisy, think about how you would have used Wikipedia to answer this question to create the decomposition. "not_definitive_answer" is true if there is no clear answer i.e. the question is ambiguous or a subjective opinion."incorrect_answer" is true if the answer to the question is not correct. If the answer is incorrect, write a decomposition that evaluates the correct answer. Each question should be easy to answer based on simple facts from Wikipedia pages, or a simple check using the answers to preceding questions. To ensure this, we also ask you to enter a potential Wikipedia article that would contain the answer to each question. If you can not think of a Wikipedia page that can answer your question, please think of a different strategy. You do not need to enter a Wikipedia page for steps that don't add new information and only contain simple checks. The answer to the final question is the same as the answer to the original question. Every question's answer has an impact on the final answer and there should be no redundant steps in the decomposition.

Example Input: Question: Can you measure a Caracal with a protractor?, Answer:No, Description of Caracal: Small wild cat, Fact1: A caracal is a small wild cat, Fact2: Cats and other animals are measured in terms of properties like length, width, and weight, Fact3: Protractors measure angles
Example Output: Step1: What are protractors used to measure?, Step2: What is a caracal?, Step3: Are #1 and #2 similar (or the same)?, Wikipedia page for step 1: Protractor, Wikipedia page for step 2: Caracal, Wikipedia page for step 3: , not_definitive_answer: False, incorrect_answer: False

Example Input: Question: Would Emma Roberts's Nancy Drew be considered a private investigator?, Answer:No, Description of Private investigator: person hired to undertake investigatory law services, Fact1: Emma Roberts starred as Nancy Drew in the 2007 film titled Nancy Drew., Fact2: A private investigator is hired by an individual to solve a crime., Fact3: Nancy Drew from the 2007 film was described as an amateur sleuth., Fact4: Nancy Drew in the 2007 film was interested in a case and decided to pursue it on her own, without being paid for it.
Example Output: Step1: Who did Emma Roberts play in the 2007 film titled Nancy Drew?, Step2: Was #1 considered a private investigator?, Wikipedia page for step 1: https://en.wikipedia.org/wiki/Emma_Roberts, Wikipedia page for step 2: https://en.wikipedia.org/wiki/Nancy_Drew_(2007_film), not_definitive_answer: False, incorrect_answer: False

Example Input: Question: Is Nicole Kidman ideal choice to play Psylocke based on height and weight?, Answer:Yes, Description of Nicole Kidman: Australian-American actress and film producer, Fact1: Psylocke is a Marvel super hero whose real name is Betsy Braddock., Fact2: Betsy Braddock is 5'11 and 155 lbs., Fact3: Actress Nicole Kidman is 5'11 and weighs 137 lbs., Fact4: Actresses gain weight all the time for roles, such as Charlize Theron who gained 30 pounds for the movie Monster.
Example Output:
Step1: What is Psylocke's height?, Step2: What is Psylocke's wieght?, Step3: Does Nicole Kidman have similar attributes as #1 and #2?, Wikipedia page for step 1: wiki: Psylocke, Wikipedia page for step 2: wiki: Psylocke, Wikipedia page for step 3: wiki: Nicole Kidman, not_definitive_answer: False, incorrect_answer: False