Triple

T8681584
Position Surface form Disambiguated ID Type / Status
Subject Hu E206049 entity
Predicate hasNotableBearer P458 FINISHED
Object Hu Jun
Hu Jun is a prominent Chinese actor known for his powerful performances in film, television, and theater, particularly in historical and action roles.
 E751163 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: Hu Jun | Statement: [Hu, hasNotableBearer, Hu Jun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hu Jun
Context triple: [Hu, hasNotableBearer, Hu Jun]
  • A. Zhang Jun
    Zhang Jun is a Chinese jurist and senior official who serves as the President and Chief Justice of the Supreme People's Court of China.
  • B. Zhu Jun
    Zhu Jun was a prominent late Eastern Han dynasty general and official known for his role in suppressing major uprisings and helping to stabilize imperial authority.
  • C. Ma Junren
    Ma Junren is a controversial Chinese track coach best known for training world-record-breaking female distance runners in the 1990s amid widespread doping allegations.
  • D. He Jianfeng
    He Jianfeng is a Chinese entrepreneur and art patron best known as the founder of the contemporary art institution He Art Museum.
  • E. Zhu Yijun
    Zhu Yijun was the Ming dynasty ruler better known as the Wanli Emperor, whose long reign from 1572 to 1620 saw both early prosperity and later decline of the dynasty.
  • 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: Hu Jun
Triple: [Hu, hasNotableBearer, Hu Jun]
Generated description
Hu Jun is a prominent Chinese actor known for his powerful performances in film, television, and theater, particularly in historical and action roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hu Jun
Target entity description: Hu Jun is a prominent Chinese actor known for his powerful performances in film, television, and theater, particularly in historical and action roles.
  • A. Zhang Jun
    Zhang Jun is a Chinese jurist and senior official who serves as the President and Chief Justice of the Supreme People's Court of China.
  • B. Zhu Jun
    Zhu Jun was a prominent late Eastern Han dynasty general and official known for his role in suppressing major uprisings and helping to stabilize imperial authority.
  • C. Ma Junren
    Ma Junren is a controversial Chinese track coach best known for training world-record-breaking female distance runners in the 1990s amid widespread doping allegations.
  • D. He Jianfeng
    He Jianfeng is a Chinese entrepreneur and art patron best known as the founder of the contemporary art institution He Art Museum.
  • E. Zhu Yijun
    Zhu Yijun was the Ming dynasty ruler better known as the Wanli Emperor, whose long reign from 1572 to 1620 saw both early prosperity and later decline of the dynasty.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae6d19c8190be003f7901c0468d completed March 31, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3b9fb848190b7126f8f6a1ba76f completed April 2, 2026, 10:54 p.m.
NEDg Description generation batch_69cef521010081908815779c0bd2aac9 completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef727ea088190bf40eaf5424ae864 completed April 2, 2026, 11:09 p.m.
Created at: March 30, 2026, 6:32 p.m.