Triple

T10065012
Position Surface form Disambiguated ID Type / Status
Subject Guandi E213077 entity
Predicate honorificTitle P2097 FINISHED
Object Lord Guan E190504 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: Lord Guan | Statement: [Guandi, honorificTitle, Lord Guan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lord Guan
Context triple: [Guandi, honorificTitle, Lord Guan]
  • A. Lord Shang
    Lord Shang was an influential Chinese statesman and legalist reformer of the Warring States period, best known for transforming the state of Qin into a highly centralized and powerful military state.
  • B. Guan Yu chosen
    Guan Yu was a famed Chinese general and deified warrior known for his loyalty, martial prowess, and central role in the historical and literary accounts of the late Eastern Han and Three Kingdoms era.
  • C. Khương Đình Ward
    Khương Đình Ward is an urban administrative subdivision of Thanh Xuân District in Hanoi, Vietnam.
  • D. Sun Ba
    Sun Ba was a prince of the Eastern Wu state during China’s Three Kingdoms period and a son of its founding emperor Sun Quan.
  • E. Sima Kang
    Sima Kang was a historical figure associated with the compilation of the Chinese chronicle Zizhi Tongjian, contributing to its editorial work.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd653748190aeddf7a679028604 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cbb441388190bf01925b8624377d completed April 5, 2026, 8:53 p.m.
Created at: March 30, 2026, 8:58 p.m.