Though exact information is not disclosed, GPT-4 is presumed to be pre-trained with comparatively more sophisticated training routines on a significantly larger corpus compared to GPT-3.5 Turbo. The larger corpus could have potentially helped GPT-4 acquire better domain-specific semantic priors. Additionally, the larger model size could enable GPT-4 to learn better from demonstrations in an ICL setting, which is consistent with inferences of Wei et al. . The capability of GPT-4 to process and execute instructions in the prompt was also observed incidentally in the study. As depicted in Figure , we explicitly specified in the task description not to generate output if there are no named entities of the specified type in the target sentence. It was observed that GPT-4 adhered to the instructions contrary to GPT-3.5 Turbo, which frequently repeated the target sentence without any annotations for cases where no named entities were detected.