Triple

T5988984
Position Surface form Disambiguated ID Type / Status
Subject Liezi E133296 entity
Predicate chapter P38 FINISHED
Object Tian Rui
Tian Rui is a chapter of the classical Daoist text Liezi, traditionally attributed to the philosopher Lie Yukou.
 E561007 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: Tian Rui | Statement: [Liezi, chapter, Tian Rui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tian Rui
Context triple: [Liezi, chapter, Tian Rui]
  • A. Jing Tian
    Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
  • B. Tang Fei
    Tang Fei is a Taiwanese military general and politician who briefly served as Premier of the Republic of China (Taiwan) in 2000 during the early presidency of Chen Shui-bian.
  • C. Hui Fei
    Hui Fei is a strong-willed and enigmatic courtesan who plays a pivotal role in the 1932 film "Shanghai Express."
  • D. Zhu Youyuan
    Zhu Youyuan was a Ming dynasty prince whose posthumous elevation to emperor came only after his son, the Jiajing Emperor, ascended the throne and fought to honor him as an imperial ancestor.
  • E. Li Jingxi
    Li Jingxi was a Chinese politician and statesman who briefly served as premier during the early years of the Republic of China.
  • 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: Tian Rui
Triple: [Liezi, chapter, Tian Rui]
Generated description
Tian Rui is a chapter of the classical Daoist text Liezi, traditionally attributed to the philosopher Lie Yukou.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tian Rui
Target entity description: Tian Rui is a chapter of the classical Daoist text Liezi, traditionally attributed to the philosopher Lie Yukou.
  • A. Jing Tian
    Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
  • B. Tang Fei
    Tang Fei is a Taiwanese military general and politician who briefly served as Premier of the Republic of China (Taiwan) in 2000 during the early presidency of Chen Shui-bian.
  • C. Hui Fei
    Hui Fei is a strong-willed and enigmatic courtesan who plays a pivotal role in the 1932 film "Shanghai Express."
  • D. Zhu Youyuan
    Zhu Youyuan was a Ming dynasty prince whose posthumous elevation to emperor came only after his son, the Jiajing Emperor, ascended the throne and fought to honor him as an imperial ancestor.
  • E. Li Jingxi
    Li Jingxi was a Chinese politician and statesman who briefly served as premier during the early years of the Republic of China.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04dc76fd481908cc3f327e532a1a6 completed March 22, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10854969c8190b9be249f26ad2f47 completed March 23, 2026, 9:31 a.m.
NEDg Description generation batch_69c109bf2fb4819091915b2e10b629b8 completed March 23, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_69c10a5e061c81909e8085f3210452dc completed March 23, 2026, 9:39 a.m.
Created at: March 22, 2026, 4:04 p.m.