Triple

T17124616
Position Surface form Disambiguated ID Type / Status
Subject Third Field Army E415559 entity
Predicate hadPoliticalCommissar P110057 FINISHED
Object Tan Zhenlin NE NERFINISHED

How this triple was built (3 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: Tan Zhenlin | Statement: [Third Field Army, hadPoliticalCommissar, Tan Zhenlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tan Zhenlin
Context triple: [Third Field Army, hadPoliticalCommissar, Tan Zhenlin]
  • A. Tan Zhenlin chosen
    Tan Zhenlin was a prominent Chinese Communist revolutionary and politician who held senior leadership roles in the People’s Republic of China, including serving as a vice premier.
  • B. Wang Zhonglin
    Wang Zhonglin is a Chinese politician who has held prominent provincial leadership roles, including top positions in Hubei.
  • C. Zhang Zhenlin
    Zhang Zhenlin is a prominent Chinese professional basketball forward known for his scoring and athleticism in the Chinese Basketball Association (CBA).
  • D. Jin Liqun
    Jin Liqun is a Chinese politician and banker who became the founding president of the Asian Infrastructure Investment Bank, playing a key role in shaping its strategy and global profile.
  • E. Zeng Qinghong
    Zeng Qinghong is a Chinese politician who served as Vice President of the People’s Republic of China and was a key power broker within the Chinese Communist Party in the early 2000s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadPoliticalCommissar
Context triple: [Third Field Army, hadPoliticalCommissar, Tan Zhenlin]
  • A. laterPoliticalCommissar
    Indicates that the person served as a political commissar of the specified unit or organization at a later point in time (not necessarily their first or only such role).
  • B. politicalCommissarTitle chosen
    Indicates that an entity holds or is assigned the title or role of a political commissar within a political or military organization.
  • C. roleDuringRussianCivilWar
    Indicates the specific function, position, or involvement an entity had during the period of the Russian Civil War.
  • D. wasCommandantOf
    Indicates that one entity served as the commandant (chief commanding officer) of another entity, typically a military unit, institution, or facility.
  • E. hasPoliticalBureau
    Indicates that an entity possesses or is associated with a political bureau as part of its organizational or governance structure.
  • F. None of above.

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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f025fce481908e261f2e363e14f9 completed April 18, 2026, 8:57 p.m.
PD Predicate disambiguation batch_69e35d6d20808190a38bb32e2294bc48 completed April 18, 2026, 10:31 a.m.
Created at: April 10, 2026, 5:36 a.m.