In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said. 

Ex Input:
Sentence: I couldn't find a spoon, so I tried using a pen to stir my coffee. But that turned out to be a bad idea, because it got full of ink. Question: What got full of ink?

Ex Output:
pen


Ex Input:
Sentence: Carol believed that Rebecca suspected that she had stolen the watch. Question: Who is suspected of stealing the watch?

Ex Output:
Rebecca


Ex Input:
Sentence: Alice looked for her friend Jade in the crowd. Since she always has good luck, Alice spotted her quickly. Question: Who always has good luck

Ex Output:

Jade