Triple
T18698535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Wen of Sui |
E457184
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Yang Yong
Yang Yong was the original crown prince of China's Sui dynasty who was deposed in favor of his younger brother, the future Emperor Yang.
|
E1424564
|
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: Yang Yong | Statement: [Emperor Wen of Sui, child, Yang Yong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yang Yong Context triple: [Emperor Wen of Sui, child, Yang Yong]
-
A.
Yang Yong
Yang Yong was a prominent Chinese military general who played key roles in the Chinese Civil War and early People's Republic of China military campaigns.
-
B.
Wei Yunsong
Wei Yunsong was a Chinese military and political leader associated with the regional Guangxi warlord faction during the Republican era.
-
C.
Yuan Jiahua
Yuan Jiahua was a prominent Chinese linguist known for his influential work on Chinese dialectology and the classification of Chinese languages.
-
D.
Lu Yanzhi
Lu Yanzhi was a Chinese architect best known for designing the monumental Sun Yat-sen Mausoleum in Nanjing.
-
E.
Yang Chen
Yang Chen is a retired Chinese footballer best known as one of the first successful Chinese players in the German Bundesliga and a key forward for club and country in the late 1990s and early 2000s.
- 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: Yang Yong Triple: [Emperor Wen of Sui, child, Yang Yong]
Generated description
Yang Yong was the original crown prince of China's Sui dynasty who was deposed in favor of his younger brother, the future Emperor Yang.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yang Yong Target entity description: Yang Yong was the original crown prince of China's Sui dynasty who was deposed in favor of his younger brother, the future Emperor Yang.
-
A.
Yang Yong
Yang Yong was a prominent Chinese military general who played key roles in the Chinese Civil War and early People's Republic of China military campaigns.
-
B.
Wei Yunsong
Wei Yunsong was a Chinese military and political leader associated with the regional Guangxi warlord faction during the Republican era.
-
C.
Yuan Jiahua
Yuan Jiahua was a prominent Chinese linguist known for his influential work on Chinese dialectology and the classification of Chinese languages.
-
D.
Lu Yanzhi
Lu Yanzhi was a Chinese architect best known for designing the monumental Sun Yat-sen Mausoleum in Nanjing.
-
E.
Yang Chen
Yang Chen is a retired Chinese footballer best known as one of the first successful Chinese players in the German Bundesliga and a key forward for club and country in the late 1990s and early 2000s.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e984988190ae902d41edd8faff |
completed | April 19, 2026, 11:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08693797cc8190a9718a377734c897 |
completed | May 16, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0869e2a80481909105005195330dc9 |
completed | May 16, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a6ad6c88190be1770758d2e1bbf |
completed | May 16, 2026, 1 p.m. |
Created at: April 10, 2026, 11:49 a.m.