Triple

T22632405
Position Surface form Disambiguated ID Type / Status
Subject Inner Chapters of the Zhuangzi E558586 entity
Predicate chapter P38 FINISHED
Object Yang Sheng Zhu
Yang Sheng Zhu is a chapter from the Inner Chapters of the Daoist classic Zhuangzi that focuses on nurturing life and living in harmony with the natural Way.
E1545574 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: Yang Sheng Zhu | Statement: [Inner Chapters of the Zhuangzi, chapter, Yang Sheng Zhu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yang Sheng Zhu
Context triple: [Inner Chapters of the Zhuangzi, chapter, Yang Sheng Zhu]
  • A. Zhu Chen
    Zhu Chen is a Chinese-born Qatari chess grandmaster and former Women's World Chess Champion.
  • B. Zhu Yawen
    Zhu Yawen is a Chinese actor known for his roles in film and television dramas, particularly in military and historical series.
  • C. Zheng Shangyou
    Zheng Shangyou is a Chinese climbing-style card game that served as a key predecessor to the popular game Big Two.
  • D. Zhu Zhanyong
    Zhu Zhanyong was a Ming dynasty imperial prince, known primarily as a son of the Hongxi Emperor of China.
  • E. Zhang Zongyu
    Zhang Zongyu was a prominent Chinese rebel commander who led the Nian forces against the Qing dynasty during the mid-19th 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: Yang Sheng Zhu
Triple: [Inner Chapters of the Zhuangzi, chapter, Yang Sheng Zhu]
Generated description
Yang Sheng Zhu is a chapter from the Inner Chapters of the Daoist classic Zhuangzi that focuses on nurturing life and living in harmony with the natural Way.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yang Sheng Zhu
Target entity description: Yang Sheng Zhu is a chapter from the Inner Chapters of the Daoist classic Zhuangzi that focuses on nurturing life and living in harmony with the natural Way.
  • A. Zhu Chen
    Zhu Chen is a Chinese-born Qatari chess grandmaster and former Women's World Chess Champion.
  • B. Zhu Yawen
    Zhu Yawen is a Chinese actor known for his roles in film and television dramas, particularly in military and historical series.
  • C. Zheng Shangyou
    Zheng Shangyou is a Chinese climbing-style card game that served as a key predecessor to the popular game Big Two.
  • D. Zhu Zhanyong
    Zhu Zhanyong was a Ming dynasty imperial prince, known primarily as a son of the Hongxi Emperor of China.
  • E. Zhang Zongyu
    Zhang Zongyu was a prominent Chinese rebel commander who led the Nian forces against the Qing dynasty during the mid-19th 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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1700ab4308190a16b0a1b2a0210fd completed April 29, 2026, 2:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b4e0b2dd081909b063c50b18579c4 completed May 18, 2026, 5:36 p.m.
NEDg Description generation batch_6a0b4ed997448190a6fe89160ccc223b completed May 18, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_6a0b4f8600448190a726d0fe91e17cff completed May 18, 2026, 5:42 p.m.
Created at: April 17, 2026, 3:02 p.m.