thumb|right|340px| Trimön (centre) Trimön Shap-pe (), born Norbu Wangyal (, 1874–1945), was a highly prominent Tibetan aristocrat, conservative politician and governor, a former Finance Minister, and Chief Cabinet Minister of Tibet. (Tsipön; Tibetan: rtsis-dpon). Trimon accompanied Regent Reting who jointly spearheaded the search to lake Lhamo Latso, leading to the discovery of Tenzin Gyatso, the 14th Dalai Lama in 1935. Trimon is regarded as an eminent personality and significant political figure in modern Tibetan history.
via Open Library + Wikidata
via Wikidata · CC0
thumb|right|340px| Trimön (centre) Trimön Shap-pe (), born Norbu Wangyal (, 1874–1945), was a highly prominent Tibetan aristocrat, conservative politician and governor, a former Finance Minister, and Chief Cabinet Minister of Tibet. (Tsipön; Tibetan: rtsis-dpon). Trimon accompanied Regent Reting who jointly spearheaded the search to lake Lhamo Latso, leading to the discovery of Tenzin Gyatso, the 14th Dalai Lama in 1935. Trimon is regarded as an eminent personality and significant political figure in modern Tibetan history.
==Biography== Trimon Norbu Wangyal was the second son of the eminent Tsi-pa Shakabpa Tenzin Norgye, a distinguished bureaucrat who oversaw the training of cadets that entered government service. A scion of the Shakabpa family, Norbu Wangyal was adopted into the Trimön family. He took the family name upon inheriting the estates of his wife's father at Chetang, near Lhasa although he lived for many years at Sechung House. ===Career=== In 1912, Trimön, despite no formal military training, was assigned to a post as Assistant Commanders-in-Chief of the Tibetan army during the Chinese conflict at Lhasa. In June of that year, he was conferred the title of Theji.In 1913-1914, he accompanied Lönchen Shatra to India as his personal assistant, to the Tibetan Plenipotentiaries at the Simla Convention and conversed with Lord Hardinge. When he returned to Tibet in 1914, he was appointed the title of Shap-pe ().
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).