Definition: 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.

Positive Example 1 -
Input: Question: Did Aristotle use a laptop?, Answer:No, Fact1: Aristotle died in 322 BC., Fact2: Laptop was invented in the 19th century.
Output: Step1: When was the laptop invented?, Step2: When did Aristotle die?, Step3: Is #2 before #1?, Wikipedia page for step 1: Laptop, Wikipedia page for step 2: Aristotle, not_definitive_answer: False, incorrect_answer: False

Positive Example 2 -
Input: Question: Can you spot helium?, Answer:No
Output: Step1: Does helium have a color?, Step2: Does helium have a smell?, Step3: Does helium have a taste?, Step4: Is #1 or #2 or #3?, Wikipedia page for step 1: Helium, Wikipedia page for step 2: Helium, Wikipedia page for step 3: Helium, not_definitive_answer: False, incorrect_answer: False

Negative Example 1 -
Input: Question: Can a suit of armor conduct electricity?, Answer:Yes, Fact1: Suit of armor is made of iron., Fact2: Iron is an electric conductor.
Output: Step1: What is a suit of armor made of?, Step2: Can iron conduct electricity?, Wikipedia page for step 1: Armor, Wikipedia page for step 2: Electrical Conductors, not_definitive_answer: False, incorrect_answer: False

Negative Example 2 -
Input: Question: Was the planet of Jupiter discovered by Galileo after Pluto had been discovered?, Answer:No
Output: Step1: When was the planet of Jupiter discovered by Galileo?, Step2: When was the planet of Pluto discovered?, Step3: Is #1 after #2?, not_definitive_answer: False, incorrect_answer: False

Now complete the following example -
Input: Question: Would a model be appropriate to star in a LA Femme Nikita remake?, Answer:Yes, Description of Model (person): person employed to display, advertise and promote products, or to serve as a visual aid, Fact1: La Femme Nikita is a French movie about a beautiful female assassin., Fact2: Models are known for their beauty and height., Fact3: Peta Wilson and Maggie Q have played the lead role in La Femme Nikita spinoffs., Fact4: Peta Wilson and Maggie Q have both done extensive modeling work.
Output: 



Answer:
Step1: What is La Femme Nikita?, Step2: What is #1 about?, Step3: Would a model be able to play #2?, Wikipedia page for step 1: La Femme Nikita, Wikipedia page for step 2: La Femme Nikita, Wikipedia page for step 3: Models, not_definitive_answer: False, incorrect_answer: False