Triple

T8530101
Position Surface form Disambiguated ID Type / Status
Subject Liu Shan E201922 entity
Predicate templeName P44027 FINISHED
Object Houzhu
Houzhu is the posthumous temple name of Liu Shan, the last emperor of the Shu Han state during China’s Three Kingdoms period.
 E741709 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: Houzhu | Statement: [Liu Shan, templeName, Houzhu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Houzhu
Context triple: [Liu Shan, templeName, Houzhu]
  • A. Daizong
    Daizong is the posthumous temple name of the Ming dynasty's Jingtai Emperor, used in ancestral rites and historical records.
  • B. Hongzhang
    Hongzhang is the given name of Li Hongzhang, a prominent late Qing dynasty Chinese statesman, diplomat, and military leader.
  • C. Yuanzhong
    Yuanzhong was the courtesy name of Cao Rui, the second emperor of the state of Cao Wei during China’s Three Kingdoms period.
  • D. Yizhu
    Yizhu was the personal name of the Xianfeng Emperor, a Qing dynasty ruler of China in the mid-19th century.
  • E. Tudigong
    Tudigong is a widely venerated Chinese earth god and local tutelary deity associated with protecting land, villages, and community welfare.
  • 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: Houzhu
Triple: [Liu Shan, templeName, Houzhu]
Generated description
Houzhu is the posthumous temple name of Liu Shan, the last emperor of the Shu Han state during China’s Three Kingdoms period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Houzhu
Target entity description: Houzhu is the posthumous temple name of Liu Shan, the last emperor of the Shu Han state during China’s Three Kingdoms period.
  • A. Daizong
    Daizong is the posthumous temple name of the Ming dynasty's Jingtai Emperor, used in ancestral rites and historical records.
  • B. Hongzhang
    Hongzhang is the given name of Li Hongzhang, a prominent late Qing dynasty Chinese statesman, diplomat, and military leader.
  • C. Yuanzhong
    Yuanzhong was the courtesy name of Cao Rui, the second emperor of the state of Cao Wei during China’s Three Kingdoms period.
  • D. Yizhu
    Yizhu was the personal name of the Xianfeng Emperor, a Qing dynasty ruler of China in the mid-19th century.
  • E. Tudigong
    Tudigong is a widely venerated Chinese earth god and local tutelary deity associated with protecting land, villages, and community welfare.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe67409f08190b20d13d26e9a362c completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d68d14c81908bde8ca0113f9503 completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce6ec1e74081908fc235ffd13ef301 completed April 2, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fe13a00819095f5bec408435426 completed April 2, 2026, 1:32 p.m.
Created at: March 30, 2026, 6:17 p.m.