Triple

T21305568
Position Surface form Disambiguated ID Type / Status
Subject Huang Zhiyong E525188 entity
Predicate name P16 FINISHED
Object Huang Zhiyong NE NERFINISHED

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: Huang Zhiyong | Statement: [Huang Zhiyong, name, Huang Zhiyong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huang Zhiyong
Context triple: [Huang Zhiyong, name, Huang Zhiyong]
  • A. Huang Zhiyong chosen
    Huang Zhiyong was a Chinese military officer and notable graduate of the Yunnan Military Academy who participated in early 20th-century military and political affairs in China.
  • B. Huang Jingyuan
    Huang Jingyuan was a Chinese military and political figure who led the regional Guangxi Clique during the turbulent warlord era of early 20th-century China.
  • C. Huang Hao
    Huang Hao was a powerful and notoriously corrupt eunuch official who dominated the later court of Shu Han under Emperor Liu Shan during the Three Kingdoms period of China.
  • D. Huang Xingguo
    Huang Xingguo is a Chinese politician who served as acting mayor and then mayor of Tianjin before being investigated and convicted on corruption charges.
  • E. Huang Tianyuan
    Huang Tianyuan is an actor known for appearing in the Chinese historical drama film "The Flowers of War."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aa3f90481909b212bdbf00c2bb0 completed April 21, 2026, 11:08 a.m.
Created at: April 16, 2026, 4:05 p.m.