Definition: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as few words as possible from the given context. Use a response that is uncommon/non-stereotypical, so that it is less predictable. To be less repetitive, please vary your language for each question.

Positive Example 1 -
Input: Context: I was told, in person over the phone, that my shoes were on their way. They have my money. I have no shoes. 
Question: What may happen after the call?
Output: I will return the shoes and get back the money.

Positive Example 2 -
Input: Context: you see , at my age relationship is kind of important and i thought i got the one after all these years . I noticed that once again i was wrong . i was good simply because i was good , i was caring , helping , supportive , bla bla blaaa . 
Question: What may happen to me?
Output: I broke up with my friend.

Negative Example 1 -
Input: Context: I was told , in person over the phone , that my shoes were on their way. They have my money. I have no shoes. 
Question: What may happen after the call?
Output: I will have shoes.

Negative Example 2 -
Input: Context: you see , at my age relationship is kind of important and i thought i got the one after all these years . I noticed that once again i was wrong . i was good simply because i was good , i was caring , helping , supportive , bla bla blaaa . 
Question: What may happen to me?
Output: I was wrong.

Now complete the following example -
Input: Context: At 12:31 we get a call for difficulty breathing . As we get close , it turns into unconsious patient . When we get on scene , code in progress , 1st on scene . Chad and I get things set up and begin CPR . 
Question: What may happen after 12:31 ?
Output: 


Output: An ambulance may race down the road .
Paramedics may be working on a patient .