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. 

Sentence: Bill thinks that calling attention to himself was rude of Bert. Question: Who called attention to himself?
Bill

Sentence: The table won't fit through the doorway because it is too narrow. Question: What is too narrow?
table

Sentence: I tried to paint a picture of an orchard, with lemons in the lemon trees, but they came out looking more like light bulbs. Question: What looked like light bulbs?

trees