Triple
T8006732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Huai of Chu |
E186380
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Xiong Huai
Xiong Huai was an ancient Chinese monarch who ruled the state of Chu during the Warring States period.
|
E752594
|
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 Huai | Statement: [King Huai of Chu, givenName, Xiong Huai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiong Huai Context triple: [King Huai of Chu, givenName, Xiong Huai]
-
A.
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.
-
B.
Han Xianchu
Han Xianchu was a prominent Chinese military commander of the People’s Liberation Army, known for his key roles in major campaigns during the Chinese Civil War and the Korean War.
-
C.
Zhu Houxi
Zhu Houxi was a Ming dynasty imperial prince, known primarily as a son of the Hongzhi Emperor of China.
-
D.
Xun Kuang
Xun Kuang, better known as Xunzi, was an influential Warring States–period Confucian philosopher noted for his belief in the innate badness of human nature and the importance of ritual and education.
-
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 Huai Triple: [King Huai of Chu, givenName, Xiong Huai]
Generated description
Xiong Huai was an ancient Chinese monarch who ruled the state of Chu during the Warring States period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xiong Huai Target entity description: Xiong Huai was an ancient Chinese monarch who ruled the state of Chu during the Warring States period.
-
A.
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.
-
B.
Han Xianchu
Han Xianchu was a prominent Chinese military commander of the People’s Liberation Army, known for his key roles in major campaigns during the Chinese Civil War and the Korean War.
-
C.
Zhu Houxi
Zhu Houxi was a Ming dynasty imperial prince, known primarily as a son of the Hongzhi Emperor of China.
-
D.
Xun Kuang
Xun Kuang, better known as Xunzi, was an influential Warring States–period Confucian philosopher noted for his belief in the innate badness of human nature and the importance of ritual and education.
-
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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf8a6048190970685a83fd2f59d |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf278d5abc8190a9330918486e464f |
completed | April 3, 2026, 2:35 a.m. |
| NEDg | Description generation | batch_69cf2a6a91d48190aa7d45b0a010f261 |
completed | April 3, 2026, 2:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2c0aace08190aca839c39e718c52 |
completed | April 3, 2026, 2:55 a.m. |
Created at: March 30, 2026, 5:18 p.m.