This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.

[Q]: ['In the 1948 motion picture Velvet Touch, Sydney Greenstreet was casted as Capt. Danbury.', 'Bulworth was nominated for Best Original Screenplay at the 71st Academy Awards.']
[A]: DISSIMILAR


[Q]: ['Bacon Explosion comes from the United States where Joe Biden is one of the leaders. In the United States they speak English, Native Americans are an ethnic group and the capital is Washington D.C.', 'The molecular target of Irvalec ® is plasma membrane fluidity.']
[A]: DISSIMILAR


[Q]: ['The Waterman serves English food at a cheap price range in a family friendly environment. It can be located in riverside and has an average customer rating.', 'In Riverside where  is a cheap English food family friendly called The Waterman with a average rating.']
[A]:
SIMILAR