Triple

T8066516
Position Surface form Disambiguated ID Type / Status
Subject Wu Zixu E188256 entity
Predicate courtesyName P570 FINISHED
Object Zixu
Zixu is the courtesy name of Wu Zixu, a prominent statesman and military strategist of the late Spring and Autumn period in ancient China.
 E713396 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: Zixu | Statement: [Wu Zixu, courtesyName, Zixu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zixu
Context triple: [Wu Zixu, courtesyName, Zixu]
  • A. Taichang
    Taichang was the posthumous temple name of a short-reigning Ming dynasty emperor who ruled China briefly in 1620.
  • B. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • C. Zizhan
    Zizhan is the courtesy name of Su Shi, the renowned Song dynasty Chinese poet, calligrapher, and statesman also known as Su Dongpo.
  • D. Daizong
    Daizong is the posthumous temple name of the Ming dynasty's Jingtai Emperor, used in ancestral rites and historical records.
  • E. Guguan
    Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
  • 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: Zixu
Triple: [Wu Zixu, courtesyName, Zixu]
Generated description
Zixu is the courtesy name of Wu Zixu, a prominent statesman and military strategist of the late Spring and Autumn period in ancient China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zixu
Target entity description: Zixu is the courtesy name of Wu Zixu, a prominent statesman and military strategist of the late Spring and Autumn period in ancient China.
  • A. Taichang
    Taichang was the posthumous temple name of a short-reigning Ming dynasty emperor who ruled China briefly in 1620.
  • B. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • C. Zizhan
    Zizhan is the courtesy name of Su Shi, the renowned Song dynasty Chinese poet, calligrapher, and statesman also known as Su Dongpo.
  • D. Daizong
    Daizong is the posthumous temple name of the Ming dynasty's Jingtai Emperor, used in ancestral rites and historical records.
  • E. Guguan
    Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ff75d208190b7c53d2fe55878ac completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93dc680081908510daf008f18b2c completed April 1, 2026, 3:41 a.m.
NEDg Description generation batch_69cc9557c6148190a759021b6add0a61 completed April 1, 2026, 3:47 a.m.
NED2 Entity disambiguation (via description) batch_69cc96a8bb688190a352de1798b380f1 completed April 1, 2026, 3:53 a.m.
Created at: March 30, 2026, 5:26 p.m.