This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.

Input: Consider Input: In 2010, Jason Weaver was in Lottery Ticket.

Output: [['[TABLECONTEXT]', '[TITLE]', 'Jason Weaver'], ['Lottery Ticket', 'YEAR', '2010'], ['[TABLECONTEXT]', 'TITLE', 'Lottery Ticket']]


Input: Consider Input: The # for the episode with a Production code of 3T7057 is 7.0.

Output: [['robbing hood', 'NUMBER', '7'], ['robbing hood', 'ORIGINAL_AIR_DATE', 'november26,2008'], ['robbing hood', 'DIRECTED_BY', 'paul shapiro'], ['robbing hood', 'NUMBER', '16'], ['robbing hood', 'PRODUCTION_CODE', '3t7057'], ['robbing hood', 'WRITTEN_BY', 'jim danger gray'], ['robbing hood', 'U.S._VIEWERS_(MILLION)', '4.45']]


Input: Consider Input: A Loyal Character Dancer is published in the United States, where Barack Obama is the leader.


Output: [['A Loyal Character Dancer', 'COUNTRY', 'United States'], ['United States', 'LEADER_NAME', 'Barack Obama']]