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: ["Disease", "Chemical"].

Please return the output as a JSON object of the format: {"Chemical" : ["Naloxone", ...], "Disease" : ["Hypotensive", ...]}. 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:

Pharmacology of GYKI-41 099 (chlorpropanol, Tobanum) a new potent beta-adrenergic antagonist. The compound GYKI-41 099, as a beta-adrenergic antagonist, is 3-8 times more potent than propranolol in vitro and in vivo. Its antiarrhythmic effectiveness surpasses that of propranolol and pindolol inhibiting the ouabain arrhythmia in dogs and cats. GYKI-41 900 has a negligible cardiodepressant activity; it is not cardioselective. The compound shows a rapid and long lasting effect. There was a prolonged elimination of the radioactivity after the injection of 14C-41 099 to rats and dogs. The half life of the unlabeled substance in humans was more than 10 hours.
{"Chemical": ["chlorpropanol", "GYKI-41 900", "pindolol", "ouabain", "propranolol", "Tobanum", "GYKI-41 099", "14C-41 099"], "Disease": ["arrhythmia"]}