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.

Ex Input:
Dragon's Teeth has original air date October 13, 1965 and production code 105

Ex Output:
[["Dragon's Teeth", 'ORIGINAL_AIR_DATE', 'October 13, 1965'], ["Dragon's Teeth", 'PROD._CODE', '105']]


Ex Input:
Stacey Poon-Kinney, 34, cooks food that can be described as vintage with a modern twist.

Ex Output:
[['Stacey Poon-Kinney', 'AGE', '34'], ['Stacey Poon-Kinney', 'CULINARY_P.O.V.', 'Vintage with a Modern Twist']]


Ex Input:
The Catholic percentage is 44.8% and the no religion percentage is 21.0% in thee 25 to 29 age group.

Ex Output:

[['25 to 29', 'NONE_OR_NOT_STATED', '21.0%'], ['25 to 29', 'CATHOLIC', '44.8%']]