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:

C(22)-steroidal lactone glycosides from stems and leaves of Paris polyphylla var. yunnanensis. Further phytochemical investigation on the stems and leaves of Paris polyphylla var. yunnanensis has led to the isolation of three C(22)-steroidal lactone glycosides. Two of these are new compounds, designated as chonglouoside SL-7 (1) and chonglouoside SL-8 (2). Their structures were elucidated on the basis of extensive spectroscopic analysis, as well as comparison with the reported spectroscopic data. This is the first report of C(22)-steroidal lactone glycosides isolated from the Paris genus. Compounds 1 and 3 showed moderate antimicrobic activity against Propionibacterium acnes with MIC values of 31.3 and 3.9μg/mL, respectively.
{"Chemical": ["C(22)-steroidal lactone glycosides", "chonglouoside SL-8", "chonglouoside SL-7"]}