You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["Chemical"].

Please return the output as a JSON object of the format: {"Chemical": ["Arsenic", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Toxicity in mice of lectin ebulin f present in dwarf Elderberry (Sambucus ebulus L.). Dwarf elder fruits (Sambucus ebulus) contain the ribosome-inactivating lectin ebulin f structurally related to ricin. We investigated intraperitoneal toxicity of ebulin f in mice and found that it triggers specific derangement of the intestines. Ebulin f was much less toxic than ricin to mice when administered intraperitoneally. The targets were cells of the intestinal crypts, which underwent apoptosis. Small intestine crypts were more sensitive than large intestine crypts.
{"Chemical": []}