Triple
T23337580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Xiaojingcheng |
E591638
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object |
Yiling
Yiling was a Qing dynasty official and nobleman best known as the father of Empress Xiaojingcheng, a consort of the Daoguang Emperor.
|
E1579978
|
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: Yiling | Statement: [Empress Xiaojingcheng, father, Yiling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yiling Context triple: [Empress Xiaojingcheng, father, Yiling]
-
A.
Hengyang
Hengyang is a major industrial and transportation hub city in southern China, located along the Xiang River in the south of Hunan Province.
-
B.
Huaihua
Huaihua is a prefecture-level city in southwestern Hunan Province, China, known as a regional transportation hub and home to several ethnic minority communities.
-
C.
Yiyang
Yiyang is a prefecture-level city in south-central China known for its location along the Zi River and its role as an important regional center in Hunan Province.
-
D.
Changde
Changde is a city in northwestern Hunan Province, China, historically significant as a major battleground during the Second Sino-Japanese War.
-
E.
Zhuzhou
Zhuzhou is a major industrial and transportation hub city in south-central China, known especially for its rail transit and manufacturing industries.
- 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: Yiling Triple: [Empress Xiaojingcheng, father, Yiling]
Generated description
Yiling was a Qing dynasty official and nobleman best known as the father of Empress Xiaojingcheng, a consort of the Daoguang Emperor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yiling Target entity description: Yiling was a Qing dynasty official and nobleman best known as the father of Empress Xiaojingcheng, a consort of the Daoguang Emperor.
-
A.
Hengyang
Hengyang is a major industrial and transportation hub city in southern China, located along the Xiang River in the south of Hunan Province.
-
B.
Huaihua
Huaihua is a prefecture-level city in southwestern Hunan Province, China, known as a regional transportation hub and home to several ethnic minority communities.
-
C.
Yiyang
Yiyang is a prefecture-level city in south-central China known for its location along the Zi River and its role as an important regional center in Hunan Province.
-
D.
Changde
Changde is a city in northwestern Hunan Province, China, historically significant as a major battleground during the Second Sino-Japanese War.
-
E.
Zhuzhou
Zhuzhou is a major industrial and transportation hub city in south-central China, known especially for its rail transit and manufacturing industries.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1982f8574819090f8b0ba249237a3 |
completed | April 29, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4cb282d081908ed8fa395460d7db |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c4f634a70819088f627f13bdfe7da |
completed | May 19, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4fc72a9c8190862256fac24682a1 |
completed | May 19, 2026, 11:55 a.m. |
Created at: April 17, 2026, 5:17 p.m.