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:

Inhibitory effect on NO production of triterpenes from the fruiting bodies of Ganoderma lucidum. Four new lanostane triterpenes, butyl lucidenate P (1), butyl lucidenate D(2) (2), butyl lucidenate E(2) (3) and butyl lucidenate Q (4) along with 11 known compounds (5-15) were isolated from the fruiting bodies of Ganoderma lucidum. Their chemical structures were established mainly by 1D and 2D NMR techniques and mass spectrometry. Their anti-inflammatory activity was evaluated against LPS-induced NO production in macrophage RAW 264.7 cells. Compounds 1, 3, 4, 9, 10 and 15 showed inhibitory potency with IC(50) values of 7.4, 6.4, 4.3, 9.4, 9.2 and 4.5 μM, respectively. Compounds 1, 3 and 15 dose-dependently reduced the LPS-induced iNOS expressions. Preincubation of cell with 1, 3 and 15 significantly suppressed LPS-induced expression of COX-2 protein.
{"Chemical": ["triterpenes", "butyl lucidenate D(2)", "butyl lucidenate Q", "lanostane triterpenes", "butyl lucidenate E(2)", "butyl lucidenate P", "NO"]}