Triple

T12216327
Position Surface form Disambiguated ID Type / Status
Subject Chen Yongren E291094 entity
Predicate givenName P17 FINISHED
Object Yongren
Yongren is a Chinese given name that can be borne by individuals such as the character Chen Yongren.
E976730 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: Yongren | Statement: [Chen Yongren, givenName, Yongren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yongren
Context triple: [Chen Yongren, givenName, Yongren]
  • A. Yuanxing
    Yuanxing was the era name used by Eastern Wu emperor Sun Hao during part of his tumultuous late Three Kingdoms–period reign in China.
  • B. Yongcheng
    Yongcheng was a Qing dynasty imperial prince, known as one of the sons of the Qianlong Emperor of China.
  • C. Houyuan
    Houyuan was a historical Chinese era name used during the reign of Emperor Jing of the Western Han dynasty.
  • D. Houyuan
    Houyuan was an era name used during the reign of Emperor Wu of the Western Han dynasty in ancient China.
  • E. Shàoyáng
    Shàoyáng is a prefecture-level city in southwestern Hunan Province, China, known for its long history, diverse ethnic culture, and role as a regional transportation and commercial hub.
  • 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: Yongren
Triple: [Chen Yongren, givenName, Yongren]
Generated description
Yongren is a Chinese given name that can be borne by individuals such as the character Chen Yongren.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yongren
Target entity description: Yongren is a Chinese given name that can be borne by individuals such as the character Chen Yongren.
  • A. Yuanxing
    Yuanxing was the era name used by Eastern Wu emperor Sun Hao during part of his tumultuous late Three Kingdoms–period reign in China.
  • B. Yongcheng
    Yongcheng was a Qing dynasty imperial prince, known as one of the sons of the Qianlong Emperor of China.
  • C. Houyuan
    Houyuan was a historical Chinese era name used during the reign of Emperor Jing of the Western Han dynasty.
  • D. Houyuan
    Houyuan was an era name used during the reign of Emperor Wu of the Western Han dynasty in ancient China.
  • E. Shàoyáng
    Shàoyáng is a prefecture-level city in southwestern Hunan Province, China, known for its long history, diverse ethnic culture, and role as a regional transportation and commercial hub.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c9419d48190b0037fe8edc681c4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a8c69308190bffae7b38cc5620b completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62be354a88190aaf5e8439b33120b completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f62c82c2dc8190a1413ac4ee650f20 completed May 2, 2026, 4:55 p.m.
Created at: April 8, 2026, 9:51 p.m.