Triple

T7946748
Position Surface form Disambiguated ID Type / Status
Subject King Zhuang of Chu E184516 entity
Predicate personalName P24312 FINISHED
Object Xiong Lü
Xiong Lü was the personal name of King Zhuang of Chu, a prominent and powerful monarch of the ancient Chinese state of Chu during the Spring and Autumn period.
 E734056 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: Xiong Lü | Statement: [King Zhuang of Chu, personalName, Xiong Lü]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xiong Lü
Context triple: [King Zhuang of Chu, personalName, Xiong Lü]
  • A. Liu Cunhou
    Liu Cunhou was a Chinese military officer and warlord associated with the Yunnan clique during the early Republican era.
  • B. Qo Xiong
    Qo Xiong is a variety of the Miao (Hmong-Mien) language family spoken by Miao communities in parts of China.
  • C. Liu Qi
    Liu Qi, better known as Emperor Jing of Han, was a Western Han dynasty ruler noted for consolidating imperial power and promoting economic stability in ancient China.
  • D. He Xuntian
    He Xuntian is a contemporary Chinese composer known for his innovative fusion of traditional Chinese musical elements with modern compositional techniques.
  • E. Hui Xiong
    Hui Xiong is a prominent computer scientist and data mining researcher recognized for his influential contributions to knowledge discovery and data analytics.
  • 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: Xiong Lü
Triple: [King Zhuang of Chu, personalName, Xiong Lü]
Generated description
Xiong Lü was the personal name of King Zhuang of Chu, a prominent and powerful monarch of the ancient Chinese state of Chu during the Spring and Autumn period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xiong Lü
Target entity description: Xiong Lü was the personal name of King Zhuang of Chu, a prominent and powerful monarch of the ancient Chinese state of Chu during the Spring and Autumn period.
  • A. Liu Cunhou
    Liu Cunhou was a Chinese military officer and warlord associated with the Yunnan clique during the early Republican era.
  • B. Qo Xiong
    Qo Xiong is a variety of the Miao (Hmong-Mien) language family spoken by Miao communities in parts of China.
  • C. Liu Qi
    Liu Qi, better known as Emperor Jing of Han, was a Western Han dynasty ruler noted for consolidating imperial power and promoting economic stability in ancient China.
  • D. He Xuntian
    He Xuntian is a contemporary Chinese composer known for his innovative fusion of traditional Chinese musical elements with modern compositional techniques.
  • E. Hui Xiong
    Hui Xiong is a prominent computer scientist and data mining researcher recognized for his influential contributions to knowledge discovery and data analytics.
  • 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_69ce1c56d07481909083f028b2b5673f completed April 2, 2026, 7:35 a.m.
NEDg Description generation batch_69ce1e3a269481908ea191ff28ea1313 completed April 2, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_69ce1ef9fb208190a50b4d8a595f5fdb completed April 2, 2026, 7:47 a.m.
Created at: March 30, 2026, 5:09 p.m.