Triple

T8115197
Position Surface form Disambiguated ID Type / Status
Subject Ouyang Xiu E189454 entity
Predicate courtesyName P570 FINISHED
Object Yongshu
Yongshu is the courtesy name of Ouyang Xiu, a prominent Song dynasty Chinese statesman, historian, and literary figure.
 E713225 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: Yongshu | Statement: [Ouyang Xiu, courtesyName, Yongshu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yongshu
Context triple: [Ouyang Xiu, courtesyName, Yongshu]
  • A. Xiluoyuan
    Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
  • B. Gaotangling
    Gaotangling is the town that serves as the administrative seat and political center of Wangcheng County in Hunan Province, China.
  • C. Yangsansi
    Yangsansi is a city in South Korea located within Gyeonggi Province, forming part of the greater Seoul metropolitan area.
  • D. Yuanhui
    Yuanhui is the courtesy name of Zhu Xi, the influential 12th-century Neo-Confucian philosopher and scholar of the Southern Song dynasty.
  • E. Hongcun
    Hongcun is a historic Chinese village in southern Anhui renowned for its well-preserved traditional Huizhou architecture and picturesque water system, and is part of a UNESCO World Heritage Site.
  • 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: Yongshu
Triple: [Ouyang Xiu, courtesyName, Yongshu]
Generated description
Yongshu is the courtesy name of Ouyang Xiu, a prominent Song dynasty Chinese statesman, historian, and literary figure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yongshu
Target entity description: Yongshu is the courtesy name of Ouyang Xiu, a prominent Song dynasty Chinese statesman, historian, and literary figure.
  • A. Xiluoyuan
    Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
  • B. Gaotangling
    Gaotangling is the town that serves as the administrative seat and political center of Wangcheng County in Hunan Province, China.
  • C. Yangsansi
    Yangsansi is a city in South Korea located within Gyeonggi Province, forming part of the greater Seoul metropolitan area.
  • D. Yuanhui
    Yuanhui is the courtesy name of Zhu Xi, the influential 12th-century Neo-Confucian philosopher and scholar of the Southern Song dynasty.
  • E. Hongcun
    Hongcun is a historic Chinese village in southern Anhui renowned for its well-preserved traditional Huizhou architecture and picturesque water system, and is part of a UNESCO World Heritage Site.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43308e0081909ea0463dabd74e4d completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc943bdaa48190971bf57ae4fb5c21 completed April 1, 2026, 3:42 a.m.
NEDg Description generation batch_69cc95586fc08190b16a1b0798ef6e31 completed April 1, 2026, 3:47 a.m.
NED2 Entity disambiguation (via description) batch_69cc96533cb88190b9c1fda1fc969cad completed April 1, 2026, 3:51 a.m.
Created at: March 30, 2026, 5:33 p.m.