Triple

T15271835
Position Surface form Disambiguated ID Type / Status
Subject Chinese National Revolutionary Army divisions E365037 entity
Predicate notableCommander P1197 FINISHED
Object Sun Lianzhong E80802 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: Sun Lianzhong | Statement: [Chinese National Revolutionary Army divisions, notableCommander, Sun Lianzhong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sun Lianzhong
Context triple: [Chinese National Revolutionary Army divisions, notableCommander, Sun Lianzhong]
  • A. Sun Lianzhong chosen
    Sun Lianzhong was a Nationalist Chinese general noted for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
  • B. Zhu Zhanyong
    Zhu Zhanyong was a Ming dynasty imperial prince, known primarily as a son of the Hongxi Emperor of China.
  • C. Liu Cunhou
    Liu Cunhou was a Chinese military officer and warlord associated with the Yunnan clique during the early Republican era.
  • D. Zhang Zongyu
    Zhang Zongyu was a prominent Chinese rebel commander who led the Nian forces against the Qing dynasty during the mid-19th century.
  • E. Zhu Jianshen
    Zhu Jianshen, better known as the Chenghua Emperor, was a Ming dynasty ruler whose long reign saw both cultural flourishing and increasing court corruption in 15th-century China.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00950a9988190b67dfbc73b8bdbbc completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb593258081909dcaf2b37fd28e63 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 3:14 a.m.