Abstract: Methods and systems are provided for labeling text data using one or more machine learning (ML) models. In one embodiment, a method for training an ML model to label text data comprises manually labeling one or more words in a portion of a first set of text data as instances of a predefined entity of interest; extracting one or more example phrases from the labeled portion of text data, submitting an instruction to a Large Language Model (LLM) to label instances of the predefined entity of interest in the first set of text data, the instruction including the one or more example phrases; and training an ML model to label instances of the predefined entity of interest in a second set of text data, using training data including labeled text data of the first set of text data, the labeled text data outputted by the LLM.