It is believed that the correct molecular structure (S)ibuprofen ethylester was obtained based on many spectra comparisons as the most appropriate answer. The study proves that even with an abundance of high dimensional and complex spectral text data, a Large Multimodal Model can effectively process data in automated and efficient ways to generate a compound. As a result, this study further opens the door to solving significant problems in chemical research and drug synthesis. -**Multiplicity (splitting patterns)**: -a + b: multiplet, indicating aromatic protons with complex splitting. -c: doublet, possibly due to coupling with one neighboring proton. -d: multiplet, likely due to coupling with adjacent protons. -e: multiplet, likely due to coupling with adjacent protons. -f: singlet, suggesting no neighboring protons. -g: multiplet, likely due to coupling with adjacent protons. -h: multiplet, likely due to coupling with adjacent protons. -i: triplet, likely due to coupling with two adjacent protons (common for CH 3 groups at the end of an alkyl chain).