Structural Inference in LLMs from Human Relationship Narratives
Abstract This field note documents an empirical observation of how a large language model (LLM) was able to generate highly specific, seemingly prescient inferences about a human relational dynamic. The purpose is not to evaluate emotional correctness, but to examine why such inferences appeared accurate, what class of prediction they belong to, and where their limits were observed. This interaction was explicitly treated as a model capability test, not as a personal or emotional inquiry. ...