Triple

T8594020
Position Surface form Disambiguated ID Type / Status
Subject Beiyang Army E203498 entity
Predicate commander P1061 FINISHED
Object Cao Kun E212948 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: Cao Kun | Statement: [Beiyang Army, commander, Cao Kun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cao Kun
Context triple: [Beiyang Army, commander, Cao Kun]
  • A. Cao Kun chosen
    Cao Kun was a prominent Chinese warlord and politician of the early Republic era who became president of the Beiyang government after consolidating power within the Beiyang Army.
  • B. Li Yuanhong
    Li Yuanhong was a Chinese military leader and politician who became a key figure in the 1911 Revolution and later served as president of the Republic of China.
  • C. Chen Yi
    Chen Yi was a prominent Chinese Communist military commander and later a senior political leader who served as Foreign Minister of the People’s Republic of China.
  • D. Chen Yi
    Chen Yi was a Chinese Nationalist military officer and politician best known for serving as the first postwar governor of Taiwan Province under the Republic of China after World War II.
  • E. Teng Daiyuan
    Teng Daiyuan was a prominent Chinese Communist revolutionary and military leader who played a key role in the early development of the People's Liberation Army and the People's Republic of 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46c5e8888190b721e791c449b0df completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf281edc348190a0c7e82dc4cb15c6 completed April 3, 2026, 2:38 a.m.
Created at: March 30, 2026, 6:23 p.m.