Triple
T9918510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Wu of Han |
E185930
|
entity |
| Predicate | eraName |
P2938
|
FINISHED |
| Object |
Yuanguang
Yuanguang was a regnal era of Emperor Wu of the Western Han dynasty, marking a specific period of his long and influential reign in ancient China.
|
E829488
|
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: Yuanguang | Statement: [Emperor Wu of Han, eraName, Yuanguang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuanguang Context triple: [Emperor Wu of Han, eraName, Yuanguang]
-
A.
Guangqi
Guangqi is the given name of Xu Guangqi, a prominent Ming dynasty scholar-official, scientist, and collaborator with Jesuit missionaries in introducing Western science to China.
-
B.
Guangjia
Guangjia was a warship of China’s late 19th-century Beiyang Fleet, one of the Qing dynasty’s principal modern naval forces.
-
C.
Guangyi
Guangyi was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
-
D.
Yuanhong
Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
-
E.
Lianyuan
Lianyuan is a county-level city in central Hunan Province, China, administered by the prefecture-level city of Loudi and known for its coal resources and industrial development.
- 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: Yuanguang Triple: [Emperor Wu of Han, eraName, Yuanguang]
Generated description
Yuanguang was a regnal era of Emperor Wu of the Western Han dynasty, marking a specific period of his long and influential reign in ancient China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuanguang Target entity description: Yuanguang was a regnal era of Emperor Wu of the Western Han dynasty, marking a specific period of his long and influential reign in ancient China.
-
A.
Guangqi
Guangqi is the given name of Xu Guangqi, a prominent Ming dynasty scholar-official, scientist, and collaborator with Jesuit missionaries in introducing Western science to China.
-
B.
Guangjia
Guangjia was a warship of China’s late 19th-century Beiyang Fleet, one of the Qing dynasty’s principal modern naval forces.
-
C.
Guangyi
Guangyi was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
-
D.
Yuanhong
Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
-
E.
Lianyuan
Lianyuan is a county-level city in central Hunan Province, China, administered by the prefecture-level city of Loudi and known for its coal resources and industrial development.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb5685a908190ab3e55b9bf9613f6 |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20dec42848190ab9f8663155df83f |
completed | April 5, 2026, 7:23 a.m. |
| NEDg | Description generation | batch_69d20ef343a4819093b915a66c63fbaa |
completed | April 5, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d212d0ed108190bbde23439734618a |
completed | April 5, 2026, 7:44 a.m. |
Created at: March 30, 2026, 8:42 p.m.