Triple

T19331696
Position Surface form Disambiguated ID Type / Status
Subject Guo Jia E483511 entity
Predicate name P16 FINISHED
Object Guo Jia 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: Guo Jia | Statement: [Guo Jia, name, Guo Jia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guo Jia
Context triple: [Guo Jia, name, Guo Jia]
  • A. Guo Jia chosen
    Guo Jia was a renowned strategist and advisor to the warlord Cao Cao during the late Eastern Han dynasty, celebrated for his keen foresight and pivotal role in early Three Kingdoms-era campaigns.
  • B. Cao Wei
    Cao Wei was a powerful Chinese state founded by the Cao family that ruled northern China during the Three Kingdoms period following the fall of the Han dynasty.
  • C. Sima Zhao
    Sima Zhao was a powerful late Three Kingdoms-era statesman and general of the Cao Wei state whose dominance paved the way for his son Sima Yan to found the Jin dynasty.
  • D. Guan Shu
    Guan Shu was an ancient Zhou dynasty noble and younger brother of King Wu of Zhou, known for his role in early Zhou politics and the Rebellion of the Three Guards.
  • E. Wei Wenhou
    Wei Wenhou was an early Warring States-period ruler credited with transforming the State of Wei into a powerful, reform-oriented kingdom in ancient China.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e616422fa08190bf4bde4312ec7cf3 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.