Triple

T8681693
Position Surface form Disambiguated ID Type / Status
Subject Ba Lu Jun E206052 entity
Predicate notableCommander P1197 FINISHED
Object Nie Rongzhen E235806 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: Nie Rongzhen | Statement: [Ba Lu Jun, notableCommander, Nie Rongzhen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nie Rongzhen
Context triple: [Ba Lu Jun, notableCommander, Nie Rongzhen]
  • A. Nie Rongzhen chosen
    Nie Rongzhen was a prominent Chinese military commander and one of the founding marshals of the People’s Republic of China, known for his key role in the Communist forces during the Chinese Civil War and the Second Sino-Japanese War.
  • B. Luo Ronghuan
    Luo Ronghuan was a prominent Chinese Communist military leader and political figure who became one of the ten marshals of the People's Republic of China.
  • C. Ma Zhanshan
    Ma Zhanshan was a prominent Chinese general best known for his early armed resistance against the Japanese invasion of Manchuria in the 1930s.
  • D. Guan Qihui
    Guan Qihui is a Chinese sculptor best known for designing the iconic Five Rams Statue in Guangzhou.
  • E. Liu Bingzhong
    Liu Bingzhong was a prominent Yuan dynasty scholar-official, architect, and urban planner best known for helping design the Mongol capital that became Beijing.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae6d19c8190be003f7901c0468d completed March 31, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf287f05748190b41c606eaae5d0b7 completed April 3, 2026, 2:39 a.m.
Created at: March 30, 2026, 6:32 p.m.