Triple
T3515174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jingtai Emperor |
E74288
|
entity |
| Predicate | templeName |
P44027
|
FINISHED |
| Object |
Daizong
Daizong is the posthumous temple name of the Ming dynasty's Jingtai Emperor, used in ancestral rites and historical records.
|
E365517
|
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: Daizong | Statement: [Jingtai Emperor, templeName, Daizong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daizong Context triple: [Jingtai Emperor, templeName, Daizong]
-
A.
Tudigong
Tudigong is a widely venerated Chinese earth god and local tutelary deity associated with protecting land, villages, and community welfare.
-
B.
Yongli
Yongli was the era name of the last emperor of the Southern Ming dynasty, whose reign marked the final resistance of Ming loyalists against the Qing conquest in 17th-century China.
-
C.
Hongzhang
Hongzhang is the given name of Li Hongzhang, a prominent late Qing dynasty Chinese statesman, diplomat, and military leader.
-
D.
Taishi
Taishi is a town in Osaka Prefecture, Japan, known for its historical sites and traditional rural character.
-
E.
Mount Wangwu
Mount Wangwu is a renowned scenic mountain area in China, celebrated for its dramatic landscapes, cultural legends, and historical significance within the Taihang mountain range.
- 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: Daizong Triple: [Jingtai Emperor, templeName, Daizong]
Generated description
Daizong is the posthumous temple name of the Ming dynasty's Jingtai Emperor, used in ancestral rites and historical records.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daizong Target entity description: Daizong is the posthumous temple name of the Ming dynasty's Jingtai Emperor, used in ancestral rites and historical records.
-
A.
Tudigong
Tudigong is a widely venerated Chinese earth god and local tutelary deity associated with protecting land, villages, and community welfare.
-
B.
Yongli
Yongli was the era name of the last emperor of the Southern Ming dynasty, whose reign marked the final resistance of Ming loyalists against the Qing conquest in 17th-century China.
-
C.
Hongzhang
Hongzhang is the given name of Li Hongzhang, a prominent late Qing dynasty Chinese statesman, diplomat, and military leader.
-
D.
Taishi
Taishi is a town in Osaka Prefecture, Japan, known for its historical sites and traditional rural character.
-
E.
Mount Wangwu
Mount Wangwu is a renowned scenic mountain area in China, celebrated for its dramatic landscapes, cultural legends, and historical significance within the Taihang mountain range.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc30362c81908ca7497a6a935cc6 |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e7a5ab08190971c9dfd6550eb2d |
completed | March 13, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69b37ff7b1c8819085b16ea9eb9175eb |
completed | March 13, 2026, 3:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3808903e481908d312766e126204f |
completed | March 13, 2026, 3:12 a.m. |
Created at: March 8, 2026, 3:19 p.m.