Triple

T5419763
Position Surface form Disambiguated ID Type / Status
Subject Wei Lihuang E121218 entity
Predicate givenName P17 FINISHED
Object Lihuang
Lihuang is the given name of Wei Lihuang, a prominent Chinese Nationalist general who played key roles in several major campaigns during the Second Sino-Japanese War and the Chinese Civil War.
 E519902 NE FINISHED

How this triple was built (4 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: Lihuang | Statement: [Wei Lihuang, givenName, Lihuang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lihuang
Context triple: [Wei Lihuang, givenName, Lihuang]
  • A. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • B. Wulidian
    Wulidian is a locality within Beijing’s Fengtai District, known primarily as a residential and commercial urban neighborhood.
  • C. Mao Ling
    Mao Ling is the mausoleum complex that serves as the imperial tomb of the Ming dynasty Chenghua Emperor in China.
  • D. Yongli
    Yongli was the era name of the last emperor of the Southern Ming dynasty, whose reign marked the final resistance of Ming loyalists against the Qing conquest in 17th-century China.
  • E. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lihuang
Triple: [Wei Lihuang, givenName, Lihuang]
Generated description
Lihuang is the given name of Wei Lihuang, a prominent Chinese Nationalist general who played key roles in several major campaigns during the Second Sino-Japanese War and the Chinese Civil War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lihuang
Target entity description: Lihuang is the given name of Wei Lihuang, a prominent Chinese Nationalist general who played key roles in several major campaigns during the Second Sino-Japanese War and the Chinese Civil War.
  • A. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • B. Wulidian
    Wulidian is a locality within Beijing’s Fengtai District, known primarily as a residential and commercial urban neighborhood.
  • C. Mao Ling
    Mao Ling is the mausoleum complex that serves as the imperial tomb of the Ming dynasty Chenghua Emperor in China.
  • D. Yongli
    Yongli was the era name of the last emperor of the Southern Ming dynasty, whose reign marked the final resistance of Ming loyalists against the Qing conquest in 17th-century China.
  • E. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • F. None of above. chosen

Provenance (5 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_69bd463b58d88190b258261573de9e91 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87e8f1cc81908b997f8a417697c0 completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3ab152248190847686ff42ac810c completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3b72f1fc8190a2fbc516cf75abdb completed March 22, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf3f44fdd08190bb9ba0e10e4410af completed March 22, 2026, 1 a.m.
Created at: March 20, 2026, 2:05 p.m.