Triple

T11981307
Position Surface form Disambiguated ID Type / Status
Subject Battle of the Yalu River E285165 entity
Predicate commander P1061 FINISHED
Object Liu Buchan E280664 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: Liu Buchan | Statement: [Battle of the Yalu River, commander, Liu Buchan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liu Buchan
Context triple: [Battle of the Yalu River, commander, Liu Buchan]
  • A. Liu Buchan chosen
    Liu Buchan was a late Qing dynasty Chinese naval officer best known for commanding the Beiyang Fleet during the First Sino-Japanese War.
  • B. Zhao Bingjun
    Zhao Bingjun was an early Republican Chinese politician who served as a key government leader during the formative years of the Republic of China.
  • C. Lu Chaoyang
    Lu Chaoyang is a prominent Chinese physicist known for his contributions to quantum information science and quantum optics.
  • D. Zhu Zhanyong
    Zhu Zhanyong was a Ming dynasty imperial prince, known primarily as a son of the Hongxi Emperor of China.
  • E. Kang Sheng
    Kang Sheng was a prominent Chinese Communist Party leader and chief of Mao Zedong’s secret police, notorious for his role in political purges and the Cultural Revolution.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90395a8788190bfbb3506c29e3825 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65e94b6008190ae19c245c4c62b5e completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:46 p.m.