Year: 2026
Type: conference-paper
Abstract: Procedural event annotations record what changed but not the semantic relevance or grounding of the change: whether the annotated entity is the kind of thing whose state matters for the domain.We present Entity Qualia Structure (EQS), a per-entity sortal-type categorization (coarsened from Generative Lexicon's type system to three categories: natural, artifactual, instrument) extracted from existing lexical resources.Applied to the OpenPI food domain, EQS reaches 84.7% coverage of the 518-item entity vocabulary; across 9367 transformation annotations, only 51.1% concern food entities themselves, while 30.2% record state changes of instruments, entities whose sortal type places them outside the food-state task.In a threeway comparison against existing cleanup efforts, EQS uniquely flags 15.6% of annotations that neither human re-annotation (OpenPI-C) nor LLM salience scoring (OpenPI 2.0) catches.Analysis of the AGENTIVE quale reveals that 93% of agentive-positive annotations involve instruments rather than food: entity creation can only be detected when the agentive feature is paired with the associated verb's event semantics.
Institution: Brandeis University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7166869525