Triple
T16912513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Xiaoduanxian |
E410235
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object |
Wang Wei
Wang Wei was a Ming dynasty official and nobleman best known as the father of Empress Xiaoduanxian, consort of the Wanli Emperor.
|
E1239817
|
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: Wang Wei | Statement: [Empress Xiaoduanxian, father, Wang Wei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wang Wei Context triple: [Empress Xiaoduanxian, father, Wang Wei]
-
A.
Wang Wei
Wang Wei was a renowned Tang dynasty Chinese poet, painter, and musician celebrated for his landscape poetry and contributions to Chan (Zen) Buddhist aesthetics.
-
B.
Meng Haoran
Meng Haoran was a renowned High Tang poet celebrated for his tranquil landscape and nature-themed verse that deeply influenced classical Chinese poetry.
-
C.
Gao Shi
Gao Shi was a prominent poet of China’s High Tang period, celebrated for his vivid frontier-themed verse and reflections on military life and hardship.
-
D.
Li Kuan
Li Kuan was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
-
E.
Cen Shen
Cen Shen was a prominent Chinese poet of the High Tang period, celebrated for his vivid frontier-themed verse and depictions of military life on the empire’s borders.
- 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: Wang Wei Triple: [Empress Xiaoduanxian, father, Wang Wei]
Generated description
Wang Wei was a Ming dynasty official and nobleman best known as the father of Empress Xiaoduanxian, consort of the Wanli Emperor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wang Wei Target entity description: Wang Wei was a Ming dynasty official and nobleman best known as the father of Empress Xiaoduanxian, consort of the Wanli Emperor.
-
A.
Wang Wei
Wang Wei was a renowned Tang dynasty Chinese poet, painter, and musician celebrated for his landscape poetry and contributions to Chan (Zen) Buddhist aesthetics.
-
B.
Meng Haoran
Meng Haoran was a renowned High Tang poet celebrated for his tranquil landscape and nature-themed verse that deeply influenced classical Chinese poetry.
-
C.
Gao Shi
Gao Shi was a prominent poet of China’s High Tang period, celebrated for his vivid frontier-themed verse and reflections on military life and hardship.
-
D.
Li Kuan
Li Kuan was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
-
E.
Cen Shen
Cen Shen was a prominent Chinese poet of the High Tang period, celebrated for his vivid frontier-themed verse and depictions of military life on the empire’s borders.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3e6b9481909fbaeb0bddd7e3b2 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7be679c8190b9d0b0b9cfe185d3 |
completed | May 10, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a00c9059a2c819099ede5a7b6e25b18 |
completed | May 10, 2026, 6:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c9d1c6a0819083635b8246cc82e7 |
completed | May 10, 2026, 6:09 p.m. |
Created at: April 10, 2026, 5:30 a.m.