Triple

T12409594
Position Surface form Disambiguated ID Type / Status
Subject Cai E E296480 entity
Predicate name P16 FINISHED
Object Cai E E296480 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: Cai E | Statement: [Cai E, name, Cai E]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cai E
Context triple: [Cai E, name, Cai E]
  • A. Cai E chosen
    Cai E was a prominent early 20th-century Chinese revolutionary and military leader best known for opposing Yuan Shikai’s attempt to restore the monarchy.
  • B. Yuan Guiren
    Yuan Guiren is a Chinese politician and educator who served as China’s Minister of Education.
  • C. Lin Juemin
    Lin Juemin was a Chinese revolutionary and early martyr of the 1911 Revolution, best known for his poignant farewell letter to his wife before sacrificing his life in the anti-Qing uprising.
  • D. Huang Xing
    Huang Xing was a prominent Chinese revolutionary leader and close ally of Sun Yat-sen who played a key role in overthrowing the Qing dynasty and founding the Republic of China.
  • E. Cao Kun
    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.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d4b86c88190afba0de15b34eee9 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b962d1c81909c2119890d921648 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:55 p.m.