Triple

T20566332
Position Surface form Disambiguated ID Type / Status
Subject Zilu E504974 entity
Predicate chineseName P4878 FINISHED
Object 子路
子路 was a prominent disciple of Confucius known for his bravery, straightforward character, and emphasis on practical action in Confucian thought.
E1438278 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: 子路 | Statement: [Zilu, chineseName, 子路]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 子路
Context triple: [Zilu, chineseName, 子路]
  • A. Yan Hui
    Yan Hui was Confucius’s favorite disciple, renowned for his exceptional virtue, humility, and understanding of Confucian teachings.
  • B. 周公
    周公是中国西周初期著名的政治家和思想家,被视为制礼作乐、奠定周朝制度与儒家礼治传统的关键人物之一。
  • C. Zigong
    Zigong is a historic industrial city in southern Sichuan, China, best known for its ancient salt industry and renowned dinosaur fossil sites.
  • D. Zengzi
    Zengzi was a prominent disciple of Confucius, renowned for his moral integrity and influential role in the development and transmission of Confucian thought.
  • E. 季高
    季高 is the courtesy name of Zuo Zongtang, a prominent Qing dynasty statesman and military leader known for his role in suppressing rebellions and promoting modernization in China.
  • 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: 子路
Triple: [Zilu, chineseName, 子路]
Generated description
子路 was a prominent disciple of Confucius known for his bravery, straightforward character, and emphasis on practical action in Confucian thought.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 子路
Target entity description: 子路 was a prominent disciple of Confucius known for his bravery, straightforward character, and emphasis on practical action in Confucian thought.
  • A. Yan Hui
    Yan Hui was Confucius’s favorite disciple, renowned for his exceptional virtue, humility, and understanding of Confucian teachings.
  • B. 周公
    周公是中国西周初期著名的政治家和思想家,被视为制礼作乐、奠定周朝制度与儒家礼治传统的关键人物之一。
  • C. Zigong
    Zigong is a historic industrial city in southern Sichuan, China, best known for its ancient salt industry and renowned dinosaur fossil sites.
  • D. Zengzi
    Zengzi was a prominent disciple of Confucius, renowned for his moral integrity and influential role in the development and transmission of Confucian thought.
  • E. 季高
    季高 is the courtesy name of Zuo Zongtang, a prominent Qing dynasty statesman and military leader known for his role in suppressing rebellions and promoting modernization in China.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a228948190b47a3a61f239e00d completed April 20, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08acdffa2c8190a87c367eb068e2cf completed May 16, 2026, 5:44 p.m.
NEDg Description generation batch_6a08ad96b2a081908d32e335c5265eec completed May 16, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_6a08ae19eca08190ada48b48105be62d completed May 16, 2026, 5:49 p.m.
Created at: April 16, 2026, 11:39 a.m.