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 Q]: Sentence: Dan took the rear seat while Bill claimed the front because his "Dibs!" was quicker. Question: Whose "Dibs" was quicker?
[EX A]: Dan's

[EX Q]: Sentence: Grace was happy to trade me her sweater for my jacket. She thinks it looks dowdy on her. Question: What looks dowdy on Grace?
[EX A]: jacket

[EX Q]: Sentence: Emma's mother had died long ago, and her education] had been [taken by an excellent woman as governess. Question: Whose education] had been [taken?
[EX A]:
mother's