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: Stacey Poon-Kinney, 34, cooks food that can be described as vintage with a modern twist.
Example Output: [['Stacey Poon-Kinney', 'AGE', '34'], ['Stacey Poon-Kinney', 'CULINARY_P.O.V.', 'Vintage with a Modern Twist']]

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: A non kid friendly coffee shop with a high price range located in the city center is named Zizzi
Example Output:
[['Zizzi', 'eatType', 'coffee shop'], ['Zizzi', 'priceRange', 'more than £30'], ['Zizzi', 'area', 'city centre'], ['Zizzi', 'familyFriendly', 'no']]