Triple

T10057240
Position Surface form Disambiguated ID Type / Status
Subject Wu Zetian E208892 entity
Predicate child P120 FINISHED
Object Li Hong
Li Hong was a Tang dynasty crown prince and the eldest son of Empress Wu Zetian and Emperor Gaozong, known for his reputation as a benevolent and capable heir before his early death.
 E885060 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: Li Hong | Statement: [Wu Zetian, child, Li Hong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Li Hong
Context triple: [Wu Zetian, child, Li Hong]
  • A. Li Jiong
    Li Jiong was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
  • B. Li Wen
    Li Wen, better known by his temple name Emperor Yizong of Tang, was a 9th-century emperor of the Tang dynasty in China.
  • C. Lu Yanzhi
    Lu Yanzhi was a Chinese architect best known for designing the monumental Sun Yat-sen Mausoleum in Nanjing.
  • D. Han Zheng
    Han Zheng is a Chinese politician and senior leader in the Communist Party of China who has held top roles in both national and Shanghai municipal governance.
  • E. Huang Shaohong
    Huang Shaohong was a prominent Chinese Nationalist military and political leader who played a key role in the development and governance of Guangxi during the Republican era.
  • 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: Li Hong
Triple: [Wu Zetian, child, Li Hong]
Generated description
Li Hong was a Tang dynasty crown prince and the eldest son of Empress Wu Zetian and Emperor Gaozong, known for his reputation as a benevolent and capable heir before his early death.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Li Hong
Target entity description: Li Hong was a Tang dynasty crown prince and the eldest son of Empress Wu Zetian and Emperor Gaozong, known for his reputation as a benevolent and capable heir before his early death.
  • A. Li Jiong
    Li Jiong was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
  • B. Li Wen
    Li Wen, better known by his temple name Emperor Yizong of Tang, was a 9th-century emperor of the Tang dynasty in China.
  • C. Lu Yanzhi
    Lu Yanzhi was a Chinese architect best known for designing the monumental Sun Yat-sen Mausoleum in Nanjing.
  • D. Han Zheng
    Han Zheng is a Chinese politician and senior leader in the Communist Party of China who has held top roles in both national and Shanghai municipal governance.
  • E. Huang Shaohong
    Huang Shaohong was a prominent Chinese Nationalist military and political leader who played a key role in the development and governance of Guangxi during the Republican era.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfaf7700819084dedf7b63e789c1 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69de54a30b748190bb791078e9dde442 completed April 14, 2026, 2:52 p.m.
NEDg Description generation batch_69de5952f6c48190abd3b87372d54f58 completed April 14, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69de5ed49c9c8190a4085407f88d7a05 completed April 14, 2026, 3:35 p.m.
Created at: March 30, 2026, 8:57 p.m.