Triple
T18698537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Wen of Sui |
E457184
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Yang Jun
Yang Jun was a prince of the Sui dynasty in China, known primarily as a son of Emperor Wen of Sui.
|
E1338967
|
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 Jun | Statement: [Emperor Wen of Sui, child, Yang Jun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yang Jun Context triple: [Emperor Wen of Sui, child, Yang Jun]
-
A.
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.
-
B.
Wei Yunsong
Wei Yunsong was a Chinese military and political leader associated with the regional Guangxi warlord faction during the Republican era.
-
C.
Yang Ye
Yang Ye was a famed Song dynasty military general and folk hero of the Yang clan, celebrated in Chinese history and legend for his loyalty and battlefield prowess.
-
D.
Feng Jicai
Feng Jicai is a prominent Chinese writer, cultural scholar, and preservationist known for his fiction and his efforts to protect China's urban and folk cultural heritage.
-
E.
Yang Lun
Yang Lun is a Chinese cinematographer best known for his work on the acclaimed film "Raise the Red Lantern."
- 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 Jun Triple: [Emperor Wen of Sui, child, Yang Jun]
Generated description
Yang Jun was a prince of the Sui dynasty in China, known primarily as a son of Emperor Wen of Sui.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yang Jun Target entity description: Yang Jun was a prince of the Sui dynasty in China, known primarily as a son of Emperor Wen of Sui.
-
A.
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.
-
B.
Wei Yunsong
Wei Yunsong was a Chinese military and political leader associated with the regional Guangxi warlord faction during the Republican era.
-
C.
Yang Ye
Yang Ye was a famed Song dynasty military general and folk hero of the Yang clan, celebrated in Chinese history and legend for his loyalty and battlefield prowess.
-
D.
Feng Jicai
Feng Jicai is a prominent Chinese writer, cultural scholar, and preservationist known for his fiction and his efforts to protect China's urban and folk cultural heritage.
-
E.
Yang Lun
Yang Lun is a Chinese cinematographer best known for his work on the acclaimed film "Raise the Red Lantern."
- 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_6a052b34a8108190a612e5334efb123c |
completed | May 14, 2026, 1:53 a.m. |
| NEDg | Description generation | batch_6a052cf643b48190b40115e6e3b8cb81 |
completed | May 14, 2026, 2:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a052e457dac8190a1160def70faad6e |
completed | May 14, 2026, 2:07 a.m. |
Created at: April 10, 2026, 11:49 a.m.