Triple

T15508327
Position Surface form Disambiguated ID Type / Status
Subject Wei Zhongxian E379139 entity
Predicate courtesyName P570 FINISHED
Object Zhongxian
Zhongxian is the courtesy name of Wei Zhongxian, a powerful and infamous eunuch who dominated the late Ming dynasty court in China.
E1180151 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: Zhongxian | Statement: [Wei Zhongxian, courtesyName, Zhongxian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhongxian
Context triple: [Wei Zhongxian, courtesyName, Zhongxian]
  • A. Xinshao County
    Xinshao County is an administrative county in Hunan Province, China, known as one of the areas where the Old Xiang variety of the Xiang Chinese language is spoken.
  • B. Zhongmou
    Zhongmou is the courtesy name of Sun Quan, the founding emperor of Eastern Wu during China’s Three Kingdoms period.
  • C. Xianning
    Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
  • D. Suining Xiang
    Suining Xiang is a regional variety of the Xiang group of Chinese dialects spoken in and around Suining in Hunan Province, China.
  • E. Zhongyang County
    Zhongyang County is a county-level administrative region under the jurisdiction of Lüliang City in Shanxi Province, China, known for its mountainous terrain and coal resources.
  • 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: Zhongxian
Triple: [Wei Zhongxian, courtesyName, Zhongxian]
Generated description
Zhongxian is the courtesy name of Wei Zhongxian, a powerful and infamous eunuch who dominated the late Ming dynasty court in China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zhongxian
Target entity description: Zhongxian is the courtesy name of Wei Zhongxian, a powerful and infamous eunuch who dominated the late Ming dynasty court in China.
  • A. Xinshao County
    Xinshao County is an administrative county in Hunan Province, China, known as one of the areas where the Old Xiang variety of the Xiang Chinese language is spoken.
  • B. Zhongmou
    Zhongmou is the courtesy name of Sun Quan, the founding emperor of Eastern Wu during China’s Three Kingdoms period.
  • C. Xianning
    Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
  • D. Suining Xiang
    Suining Xiang is a regional variety of the Xiang group of Chinese dialects spoken in and around Suining in Hunan Province, China.
  • E. Zhongyang County
    Zhongyang County is a county-level administrative region under the jurisdiction of Lüliang City in Shanxi Province, China, known for its mountainous terrain and coal resources.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcea8888190a7b69aca360183c3 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa121f814819096a69cf5ef0003ee completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa417ee248190808b0fecfb58d705 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa5372f248190827cdc4985fee1ef completed May 9, 2026, 9:20 p.m.
Created at: April 10, 2026, 3:55 a.m.