Triple

T14374174
Position Surface form Disambiguated ID Type / Status
Subject Liu Chuanzhi E356432 entity
Predicate givenName P17 FINISHED
Object Chuanzhi
Chuanzhi is the given name of Liu Chuanzhi, the Chinese entrepreneur best known as the founder of Lenovo.
 E1097775 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: Chuanzhi | Statement: [Liu Chuanzhi, givenName, Chuanzhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chuanzhi
Context triple: [Liu Chuanzhi, givenName, Chuanzhi]
  • A. Zhenxun
    Zhenxun was an ancient Chinese city traditionally regarded as one of the principal political centers of the Xia dynasty.
  • B. Zhenyuan
    Zhenyuan was a regnal era of the Tang dynasty marked by Emperor Dezong’s efforts to stabilize imperial authority and restore central control after periods of rebellion and fragmentation.
  • C. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • D. Shengzhi
    Shengzhi is the given name of Tang Shengzhi, a prominent Chinese Nationalist general active during the early 20th century.
  • E. Guizong Zhichang
    Guizong Zhichang was a Chinese Chan (Zen) Buddhist monk and teacher of the Tang dynasty, known as a prominent disciple within the Hongzhou school lineage.
  • 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: Chuanzhi
Triple: [Liu Chuanzhi, givenName, Chuanzhi]
Generated description
Chuanzhi is the given name of Liu Chuanzhi, the Chinese entrepreneur best known as the founder of Lenovo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chuanzhi
Target entity description: Chuanzhi is the given name of Liu Chuanzhi, the Chinese entrepreneur best known as the founder of Lenovo.
  • A. Zhenxun
    Zhenxun was an ancient Chinese city traditionally regarded as one of the principal political centers of the Xia dynasty.
  • B. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • C. Zhenyuan
    Zhenyuan was a regnal era of the Tang dynasty marked by Emperor Dezong’s efforts to stabilize imperial authority and restore central control after periods of rebellion and fragmentation.
  • D. Shengzhi
    Shengzhi is the given name of Tang Shengzhi, a prominent Chinese Nationalist general active during the early 20th century.
  • E. Guizong Zhichang
    Guizong Zhichang was a Chinese Chan (Zen) Buddhist monk and teacher of the Tang dynasty, known as a prominent disciple within the Hongzhou school lineage.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9007184c8190aebb003cb6548cc8 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551002948190aeb93d245e1449a7 completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd575167e48190a7a014ba80433b9d completed May 8, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69fd57a6711881909429bba35ee867c6 completed May 8, 2026, 3:25 a.m.
Created at: April 10, 2026, 1:15 a.m.