Triple

T7946781
Position Surface form Disambiguated ID Type / Status
Subject King Zhuang of Chu E184516 entity
Predicate spouse P13 FINISHED
Object Fan Ji
Fan Ji was a consort of King Zhuang of Chu, a prominent ruler of the Spring and Autumn period in ancient China.
E704526 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: Fan Ji | Statement: [King Zhuang of Chu, spouse, Fan Ji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fan Ji
Context triple: [King Zhuang of Chu, spouse, Fan Ji]
  • A. Zhu Shou
    Zhu Shou was a personal name associated with the Zhengde Emperor of the Ming dynasty, reflecting one of the formal titles or styles he bore during his reign.
  • B. Chi Yufeng
    Chi Yufeng is a Chinese entrepreneur best known as the founder of the entertainment and gaming company Perfect World Co., Ltd.
  • C. Lu Jun
    Lu Jun is a family member of Lu Lingzi, the Chinese graduate student who was killed in the 2013 Boston Marathon bombing.
  • D. Li Jiayu
    Li Jiayu was a Chinese military officer and general associated with the National Revolutionary Army during the Republican era.
  • E. Wu Jingyu
    Wu Jingyu is a Chinese taekwondo athlete and multiple-time Olympic gold medalist renowned as one of the sport’s most successful competitors.
  • 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: Fan Ji
Triple: [King Zhuang of Chu, spouse, Fan Ji]
Generated description
Fan Ji was a consort of King Zhuang of Chu, a prominent ruler of the Spring and Autumn period in ancient China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fan Ji
Target entity description: Fan Ji was a consort of King Zhuang of Chu, a prominent ruler of the Spring and Autumn period in ancient China.
  • A. Zhu Shou
    Zhu Shou was a personal name associated with the Zhengde Emperor of the Ming dynasty, reflecting one of the formal titles or styles he bore during his reign.
  • B. Chi Yufeng
    Chi Yufeng is a Chinese entrepreneur best known as the founder of the entertainment and gaming company Perfect World Co., Ltd.
  • C. Lu Jun
    Lu Jun is a family member of Lu Lingzi, the Chinese graduate student who was killed in the 2013 Boston Marathon bombing.
  • D. Li Jiayu
    Li Jiayu was a Chinese military officer and general associated with the National Revolutionary Army during the Republican era.
  • E. Wu Jingyu
    Wu Jingyu is a Chinese taekwondo athlete and multiple-time Olympic gold medalist renowned as one of the sport’s most successful competitors.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b29a570819091a2ac185a8d57c4 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe02faa308190aeba83cc6cb96153 completed March 31, 2026, 2:54 p.m.
NEDg Description generation batch_69cbe4383d0c819085e7c95e7b0be16e completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc34a83cec81908aba7afbaea53449 completed March 31, 2026, 8:55 p.m.
Created at: March 30, 2026, 5:09 p.m.