Comparing the full random set to the 100 sentences with the highest averaged KL-divergence, we can see that this is even more the case for the sub-set of 100 sentences (97.43%).
we can observe that  Table 1: Phrasal confusion matrices for document sub-set of 100 sentences sorted by average KLdivergence and for full random document sub-set of 1000 sentences (A1: Annotator 1, A2: Annotator 2).