Triple
T16776589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Dowager Xiaoding |
E407739
|
entity |
| Predicate | posthumousName |
P744
|
FINISHED |
| Object |
Xiaoding
Xiaoding is the posthumous honorific title of Empress Dowager Xiaoding, a high-ranking imperial consort and mother of an emperor in Chinese history.
|
E1233175
|
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: Xiaoding | Statement: [Empress Dowager Xiaoding, posthumousName, Xiaoding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiaoding Context triple: [Empress Dowager Xiaoding, posthumousName, Xiaoding]
-
A.
Xiaode
Xiaode was the posthumous honorific title granted to Empress Fang of the Ming dynasty, reflecting her perceived virtue and moral excellence.
-
B.
Xiaoyeliu
Xiaoyeliu is a coastal geological area in eastern Taiwan known for its striking wave-eroded rock formations and scenic seaside landscapes.
-
C.
Xiaobo
Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
-
D.
Xiao Hua
Xiao Hua is best known as the former wife of acclaimed Chinese film director Zhang Yimou.
-
E.
Xiaozong
Xiaozong is the temple name of the Hongzhi Emperor, a Ming dynasty ruler noted for his relatively peaceful and reform-minded reign in late 15th-century China.
- 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: Xiaoding Triple: [Empress Dowager Xiaoding, posthumousName, Xiaoding]
Generated description
Xiaoding is the posthumous honorific title of Empress Dowager Xiaoding, a high-ranking imperial consort and mother of an emperor in Chinese history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xiaoding Target entity description: Xiaoding is the posthumous honorific title of Empress Dowager Xiaoding, a high-ranking imperial consort and mother of an emperor in Chinese history.
-
A.
Xiaode
Xiaode was the posthumous honorific title granted to Empress Fang of the Ming dynasty, reflecting her perceived virtue and moral excellence.
-
B.
Xiaoyeliu
Xiaoyeliu is a coastal geological area in eastern Taiwan known for its striking wave-eroded rock formations and scenic seaside landscapes.
-
C.
Xiaobo
Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
-
D.
Xiao Hua
Xiao Hua is best known as the former wife of acclaimed Chinese film director Zhang Yimou.
-
E.
Xiaozong
Xiaozong is the temple name of the Hongzhi Emperor, a Ming dynasty ruler noted for his relatively peaceful and reform-minded reign in late 15th-century China.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b03a646c8190b3944c9f0c25af27 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aafe1f8081909b9540aca6e7b9b7 |
completed | May 10, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_6a00ac0e10648190803bf962a4677104 |
completed | May 10, 2026, 4:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00acc658f881908db64ebfa5a86f84 |
completed | May 10, 2026, 4:05 p.m. |
Created at: April 10, 2026, 5:22 a.m.