Triple

T8020950
Position Surface form Disambiguated ID Type / Status
Subject Imjin War E186739 entity
Predicate commander P1061 FINISHED
Object Li Rusong E625548 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: Li Rusong | Statement: [Imjin War, commander, Li Rusong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Li Rusong
Context triple: [Imjin War, commander, Li Rusong]
  • A. Li Rusong chosen
    Li Rusong was a Ming dynasty general renowned for leading Chinese forces to aid Korea against Toyotomi Hideyoshi’s invasions in the late 16th century.
  • B. Lu Yanzhi
    Lu Yanzhi was a Chinese architect best known for designing the monumental Sun Yat-sen Mausoleum in Nanjing.
  • C. Liu Ye
    Liu Ye is a Chinese actor known for his versatile performances in both commercial blockbusters and critically acclaimed films.
  • D. Luo Peijin
    Luo Peijin was a Chinese military officer and notable graduate of the Yunnan Military Academy who played a role in early 20th-century Chinese military and political affairs.
  • E. Luo Ping
    Luo Ping was an 18th-century Chinese painter of the Qing dynasty, renowned for his imaginative and eerie ghost-themed works and association with the Yangzhou school.
  • 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3e8d90488190b57d1e748e272061 completed March 31, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56c82824819082e93eddc40bfad1 completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:20 p.m.