Triple

T2312109
Position Surface form Disambiguated ID Type / Status
Subject Peng E51981 entity
Predicate hasNotableBearer P458 FINISHED
Object Peng Ming-min
Peng Ming-min was a prominent Taiwanese democracy activist, legal scholar, and politician known for his advocacy of Taiwanese self-determination and opposition to authoritarian rule.
E257326 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: Peng Ming-min | Statement: [Peng, hasNotableBearer, Peng Ming-min]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peng Ming-min
Context triple: [Peng, hasNotableBearer, Peng Ming-min]
  • A. Li Min
    Li Min is the daughter of Chinese Communist leader Mao Zedong and his third wife He Zizhen, known primarily for her familial connection to Mao.
  • B. Li Xiuwen
    Li Xiuwen was the wife of Chinese military leader and revolutionary Ye Ting.
  • C. Jun Xia
    Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
  • D. Xie Lian
    Xie Lian was the wife of Chinese Communist military leader and Marshal Liu Bocheng.
  • E. Peng Xiuwen
    Peng Xiuwen was a renowned Chinese conductor and arranger best known for modernizing and popularizing traditional Chinese orchestral music in the 20th century.
  • 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: Peng Ming-min
Triple: [Peng, hasNotableBearer, Peng Ming-min]
Generated description
Peng Ming-min was a prominent Taiwanese democracy activist, legal scholar, and politician known for his advocacy of Taiwanese self-determination and opposition to authoritarian rule.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peng Ming-min
Target entity description: Peng Ming-min was a prominent Taiwanese democracy activist, legal scholar, and politician known for his advocacy of Taiwanese self-determination and opposition to authoritarian rule.
  • A. Li Min
    Li Min is the daughter of Chinese Communist leader Mao Zedong and his third wife He Zizhen, known primarily for her familial connection to Mao.
  • B. Li Xiuwen
    Li Xiuwen was the wife of Chinese military leader and revolutionary Ye Ting.
  • C. Jun Xia
    Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
  • D. Xie Lian
    Xie Lian was the wife of Chinese Communist military leader and Marshal Liu Bocheng.
  • E. Peng Xiuwen
    Peng Xiuwen was a renowned Chinese conductor and arranger best known for modernizing and popularizing traditional Chinese orchestral music in the 20th century.
  • 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc61a8e248190b5024cca9efd806d completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae960dfb708190868126460d27b144 completed March 9, 2026, 9:42 a.m.
NEDg Description generation batch_69ae96ea1b6c81908e05ca78c5e07320 completed March 9, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69ae97a775008190bdda2f63810cd5e8 completed March 9, 2026, 9:49 a.m.
Created at: March 4, 2026, 7:49 p.m.