  Our world is shaped by events of various complexity. This includes both
small-scale local events like local farmer markets and large complex events
like political and military conflicts. The latter are typically not observed
directly but through the lenses of intermediaries like newspapers or social
media. In other words, we do not witness the unfolding of such events directly
but are confronted with narratives surrounding them. Such narratives capture
different aspects of a complex event and may also differ with respect to the
narrator. Thus, they provide a rich semantics concerning real-world events. In
this paper, we show how narratives concerning complex events can be constructed
and utilized. We provide a formal representation of narratives based on
recursive nodes to represent multiple levels of detail and discuss how
narratives can be bound to event-centric knowledge graphs. Additionally, we
provide an algorithm based on incremental prompting techniques that mines such
narratives from texts to account for different perspectives on complex events.
Finally, we show the effectiveness and future research directions in a proof of
concept.
