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: John English was a defence player from Canada.
Example Output: [['John English', 'NATIONALITY', 'Canada'], ['48', 'PLAYER', 'John English'], ['Los Angeles Kings 1984-85 draft picks', 'PICK', '48'], ['John English', 'POSITION', 'Defence']]

Example Input: Cafu with full name Marcos Evangelista de Moraes has 142 caps and 5 goals
Example Output: [['Cafu', 'CAPS', '142'], ['Cafu', 'FULL_NAME', 'Marcos Evangelista de Moraes'], ['Cafu', 'GOALS', '5']]

Example Input: Dr. Robert Caldwell appears in St. Elsewhere in 1986
Example Output:
[['Dr. Robert Caldwell', 'YEARS_OF_APPEARANCE', '1986'], ['Dr. Robert Caldwell', 'TITLE', 'St. Elsewhere']]