Triple

T995166
Position Surface form Disambiguated ID Type / Status
Subject Battle of Wuhan E21478 entity
Predicate commandingOfficer P884 FINISHED
Object He Yingqin E20256 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: He Yingqin | Statement: [Battle of Wuhan, commandingOfficer, He Yingqin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: He Yingqin
Context triple: [Battle of Wuhan, commandingOfficer, He Yingqin]
  • A. He Yingqin chosen
    He Yingqin was a prominent Chinese Nationalist general and politician who played key military and governmental roles during the Republic of China era, particularly in the early stages of the Second Sino-Japanese War.
  • B. Li Lisan
    Li Lisan was an early leader of the Chinese Communist movement who played a key role in organizing labor uprisings and shaping the party’s revolutionary strategy in the 1920s and 1930s.
  • C. Wang Jingjiu
    Wang Jingjiu was a Chinese military officer best known for commanding the National Revolutionary Army’s 87th Division during the Republican era.
  • D. Deng Hua
    Deng Hua was a prominent Chinese military commander and general in the People's Volunteer Army during the Korean War.
  • E. Mao Anqing
    Mao Anqing was the second son of Chinese Communist leader Mao Zedong, known for his work as a Russian-language translator and his relatively low political profile compared to his father.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4c75de88190bf7fec7a053f7a90 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac9968ff4c81909e8e454b7e1e9137 completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:41 p.m.