Ontology engineering (OE) has evolved into a collaborative, community-driven practice, which can introduce biases and ambiguities during the ontology requirements engineering (ORE) stage due to inefficient collaboration between knowledge engineers and domain experts. Recent advances in large language models (LLMs) have shown positive potential in supporting ORE. Building on this foundation, this work hypothesizes that LLMs can act as knowledge engineers by supporting domain experts in the requirements elicitation–particularly in generating well-formed requirements that are helpful for ontology development. In this paper, we introduce the methodologies for validating this hypothesis, along with preliminary findings from our first year of research.