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.

Example Input: The episode rank that had 2.65 million viewers by 90.
Example Output: [['3', 'VIEWERS_(M)', '2.65'], ['3', 'RANK_(#)', '90']]

Example Input: American Alan Bean was a teat pilot who was born March 15th, 1932 in Wheeler, Texas. In 1963 NASA asked him to join the Apollo 12 program where he later spent 100,305 minutes in space.
Example Output: [['Alan Bean', 'NATIONALITY', 'United States'], ['Alan Bean', 'OCCUPATION', 'Test pilot'], ['Alan Bean', 'DATE_OF_BIRTH', '"1932-03-15"'], ['Alan Bean', 'WAS_A_CREW_MEMBER_OF', 'Apollo 12'], ['Alan Bean', 'BIRTH_PLACE', 'Wheeler, Texas'], ['Alan Bean', 'TIME_IN_SPACE', '"100305.0"(minutes)'], ['Alan Bean', 'WAS_SELECTED_BY_NASA', '1963']]

Example Input: Coy Wire in 2002 was part of team buffalo and had 3 sacks with no interceptions
Example Output:
[['[TABLECONTEXT]', '[TITLE]', 'Coy Wire'], ['BUF', 'INTERCEPTIONS', '0'], ['BUF', 'SACKS', '3.0'], ['[TABLECONTEXT]', 'YEAR', '2002'], ['2002', 'TEAM', 'BUF']]