Triple

T4500968
Position Surface form Disambiguated ID Type / Status
Subject Order of Liberation E101217 entity
Predicate notableRecipient P108 FINISHED
Object Xu Haidong E525730 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: Xu Haidong | Statement: [Order of Liberation, notableRecipient, Xu Haidong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xu Haidong
Context triple: [Order of Liberation, notableRecipient, Xu Haidong]
  • A. Xu Haidong chosen
    Xu Haidong was a prominent Chinese Communist military commander and general who played key roles in the Chinese Civil War and the Second Sino-Japanese War.
  • B. Huang Xiansheng
    Huang Xiansheng was a Chinese military figure and graduate of the Yunnan Military Academy, an institution known for training many influential officers in modern Chinese history.
  • C. Liang Xingchu
    Liang Xingchu was a prominent Chinese military commander of the People's Liberation Army who played key roles in several major campaigns during the Chinese Civil War and the Korean War.
  • D. Deng Hua
    Deng Hua was a prominent Chinese military commander and general in the People's Volunteer Army during the Korean War.
  • E. Huang Qixiang
    Huang Qixiang was a Chinese military officer and revolutionary active in the early 20th century, known for his role in Republican-era military and political movements.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56f9dca08190b926f40e201a3e97 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfc4184b38819084c8c6d5c27d3906 completed March 22, 2026, 10:27 a.m.
Created at: March 20, 2026, 1 p.m.