Triple
T16731411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yongqi |
E406600
|
entity |
| Predicate | nobleTitle |
P914
|
FINISHED |
| Object |
Prince Rong
Prince Rong is a Qing dynasty princely title historically associated with Yongqi, a son of the Qianlong Emperor.
|
E1230220
|
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: Prince Rong | Statement: [Yongqi, nobleTitle, Prince Rong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prince Rong Context triple: [Yongqi, nobleTitle, Prince Rong]
-
A.
Prince Chui
Prince Chui was a royal prince of the Thonburi Kingdom and a son of King Taksin of Siam.
-
B.
Prince Rui of the First Rank
Prince Rui of the First Rank was the Qing dynasty noble title held by the powerful Manchu prince and regent Dorgon, a key architect of the Qing conquest of China.
-
C.
Prince Teng
Prince Teng was a Tang dynasty imperial prince best known for lending his name to the famed Tengwang Pavilion, one of China's most celebrated historic towers.
-
D.
Prince Chun
Prince Chun was a Qing dynasty imperial prince and high-ranking noble closely connected to the ruling Aisin Gioro family.
-
E.
Prince Dan of Yan
Prince Dan of Yan was a royal prince of the ancient Chinese state of Yan, best known for orchestrating the failed assassination attempt on the Qin king by the assassin Jing Ke during the Warring States period.
- 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: Prince Rong Triple: [Yongqi, nobleTitle, Prince Rong]
Generated description
Prince Rong is a Qing dynasty princely title historically associated with Yongqi, a son of the Qianlong Emperor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prince Rong Target entity description: Prince Rong is a Qing dynasty princely title historically associated with Yongqi, a son of the Qianlong Emperor.
-
A.
Prince Chui
Prince Chui was a royal prince of the Thonburi Kingdom and a son of King Taksin of Siam.
-
B.
Prince Rui of the First Rank
Prince Rui of the First Rank was the Qing dynasty noble title held by the powerful Manchu prince and regent Dorgon, a key architect of the Qing conquest of China.
-
C.
Prince Teng
Prince Teng was a Tang dynasty imperial prince best known for lending his name to the famed Tengwang Pavilion, one of China's most celebrated historic towers.
-
D.
Prince Chun
Prince Chun was a Qing dynasty imperial prince and high-ranking noble closely connected to the ruling Aisin Gioro family.
-
E.
Prince Dan of Yan
Prince Dan of Yan was a royal prince of the ancient Chinese state of Yan, best known for orchestrating the failed assassination attempt on the Qin king by the assassin Jing Ke during the Warring States period.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c362bb88190921fab43d76c3ee8 |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d4a94688190aabe56c34e8cc2c3 |
completed | May 10, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_6a009dd925308190a82c6ef014b37333 |
completed | May 10, 2026, 3:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a009e9b9874819084060408cdc44d0b |
completed | May 10, 2026, 3:04 p.m. |
Created at: April 10, 2026, 5:20 a.m.