Triple

T15591339
Position Surface form Disambiguated ID Type / Status
Subject Teng E374749 entity
Predicate hasNotableBearer P458 FINISHED
Object Teng Biao
Teng Biao is a Chinese human rights lawyer, legal scholar, and activist known for his advocacy on civil rights and democracy in China.
 E1170000 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: Teng Biao | Statement: [Teng, hasNotableBearer, Teng Biao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Teng Biao
Context triple: [Teng, hasNotableBearer, Teng Biao]
  • A. Duan Xingzhi
    Duan Xingzhi was the final monarch of the Dali Kingdom, marking the end of this medieval Bai state in what is now Yunnan, China.
  • B. Cui Hao
    Cui Hao was a prominent poet of the Tang dynasty in China, best known for his evocative landscape and frontier poems.
  • C. Teng Dai
    Teng Dai is a person notable enough to be recognized as a prominent bearer of the Chinese surname Teng.
  • D. Zhang Bao
    Zhang Bao was a key military and religious figure of the late Eastern Han dynasty, best known as one of the principal commanders of the Yellow Turban Rebellion alongside his brothers Zhang Jue and Zhang Liang.
  • E. Feng Zhen
    Feng Zhen is a notable individual who bears the Chinese surname Feng and is recognized for achievements significant enough to be distinctly recorded.
  • 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: Teng Biao
Triple: [Teng, hasNotableBearer, Teng Biao]
Generated description
Teng Biao is a Chinese human rights lawyer, legal scholar, and activist known for his advocacy on civil rights and democracy in China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Teng Biao
Target entity description: Teng Biao is a Chinese human rights lawyer, legal scholar, and activist known for his advocacy on civil rights and democracy in China.
  • A. Duan Xingzhi
    Duan Xingzhi was the final monarch of the Dali Kingdom, marking the end of this medieval Bai state in what is now Yunnan, China.
  • B. Cui Hao
    Cui Hao was a prominent poet of the Tang dynasty in China, best known for his evocative landscape and frontier poems.
  • C. Teng Dai
    Teng Dai is a person notable enough to be recognized as a prominent bearer of the Chinese surname Teng.
  • D. Zhang Bao
    Zhang Bao was a key military and religious figure of the late Eastern Han dynasty, best known as one of the principal commanders of the Yellow Turban Rebellion alongside his brothers Zhang Jue and Zhang Liang.
  • E. Feng Zhen
    Feng Zhen is a notable individual who bears the Chinese surname Feng and is recognized for achievements significant enough to be distinctly recorded.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4b903c8190a35f9267cb38e721 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678536d48190a0192c79f7c281e7 completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff68947cec8190a77cfe560a10a1ee completed May 9, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff69370ed081908ab61470f126bcf9 completed May 9, 2026, 5:04 p.m.
Created at: April 10, 2026, 4:11 a.m.