Triple

T21101027
Position Surface form Disambiguated ID Type / Status
Subject Wei E519903 entity
Predicate hasNotableBearer P458 FINISHED
Object Wei Zheng 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: Wei Zheng | Statement: [Wei, hasNotableBearer, Wei Zheng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wei Zheng
Context triple: [Wei, hasNotableBearer, Wei Zheng]
  • A. Wei Zheng chosen
    Wei Zheng was a prominent Tang dynasty statesman and historian renowned for his frank remonstrations and influential counsel to Emperor Taizong.
  • B. Zhang Wenshou
    Zhang Wenshou was the wife of Cao Kun, a prominent Chinese warlord and president of the Beiyang government in the early Republic of China.
  • C. 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.
  • D. Chu Suiliang
    Chu Suiliang was a prominent early Tang dynasty calligrapher and statesman whose elegant style and political career greatly shaped the development of Chinese calligraphy.
  • E. Kong Yingda
    Kong Yingda was a prominent early Tang dynasty Confucian scholar and exegete best known for leading the compilation of authoritative commentaries on the Confucian classics.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5e16cc81908257ccf8c9a59117 completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:53 p.m.