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. 

Example Input: Sentence: James asked Robert for a favor but he was refused. Question: Who was refused?
Example Output: Robert

Example Input: Sentence: When Tommy dropped his ice cream, Timmy giggled, so father gave him a stern look. Question: Who got the look from father?
Example Output: Tommy

Example Input: Sentence: Joe paid the detective after he received the final report on the case. Question: Who received the final report?
Example Output:
 detective