This paper motivates and demonstrates the use of knowledge graphs (KGs) in the literary domain by annotating a specific set of entities, namely trees, in the works of Vladimir Nabokov. We identify and collect 130+ distinct tree species with 2000+ mentions across 20 books and 5300+ print pages in the Nabokovian corpus. These allusive mentions are linked to external databases, putting forward a novel, contextually enriched knowledge base. We also propose a semantic data model, the Tree Annotation Vocabulary (TAV), to capture these annotations alongside their broader literary associations. Lastly, we present a sample evaluation of existing tools to highlight the complexities of entity recognition in a literary context.