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Description: People believe other people have minds, but they also perceive minds in other entities, from animals to God to robots. Previous work on mind perception has relied mostly on participant ratings of pre-selected attributes. We instead use a task, which we call the Minimal Turing Test, in which participants must convince a judge that they are human, rather than an artificial intelligence, using a single word of their choosing. By embedding the production data from a large-scale Minimal Turing Test in a high-dimensional semantic vector space, and constructing an ordering over pairwise evaluations from judges, we provide additional evidence for the agency and experience dimensions discovered in previous work. We identify rich semantic structure within and across these two dimensions, and obtain quantitative measures of the importance that people place on different attributes.