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 book Alcatraz Versus the Evil Librarians is an example of American Literature. White people are a part of the U.S's ethnic make-up.
Example Output: [['United States', 'ETHNIC_GROUP', 'White Americans'], ['Alcatraz Versus the Evil Librarians', 'COUNTRY', 'United States']]

Example Input: The Waterman offers a higher-priced menu of English food in a child-friendly riverside setting. It was rated average by customers.
Example Output: [['The Waterman', 'food', 'English'], ['The Waterman', 'customer rating', 'average'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'yes']]

Example Input: The oncogenes related to Cytoplasmic Serine/threonine kinases and their regulatory subunits is involved in organism development, cell cycle regulation, cell proliferation, differentiation, cells survival, and apoptosis, and it can cause cancers such as malignant melanoma, papillary thyroid cancer, colorectal cancer, and ovarian cancer.
Example Output:
[['[TABLECONTEXT]', '[TITLE]', 'Oncogene'], ['[TABLECONTEXT]', 'CATEGORY', 'Cytoplasmic Serine/threonine kinases and their regulatory subunits'], ['Cytoplasmic Serine/threonine kinases and their regulatory subunits', 'GENE_FUNCTIONS', 'Involved in organism development, cell cycle regulation, cell proliferation, differentiation, cells survival, and apoptosis'], ['Cytoplasmic Serine/threonine kinases and their regulatory subunits', 'CANCERS', 'malignant melanoma, papillary thyroid cancer, colorectal cancer, and ovarian cancer']]