Triple
T10509488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheng Xuanhuai |
E247873
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Xuanhuai
Xuanhuai is the given name of Sheng Xuanhuai, a prominent late Qing dynasty Chinese official, industrialist, and key figure in the Self-Strengthening Movement.
|
E869097
|
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: Xuanhuai | Statement: [Sheng Xuanhuai, givenName, Xuanhuai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xuanhuai Context triple: [Sheng Xuanhuai, givenName, Xuanhuai]
-
A.
Shilun
Shilun is the given name of Song Shilun, a prominent Chinese military commander and general of the People’s Liberation Army.
-
B.
Lianghe
Lianghe is a town in southwestern China's Yunnan province, known as the seat of Lianghe County within the Dehong Dai and Jingpo Autonomous Prefecture.
-
C.
Yutian
Yutian is the ancient name of the oasis kingdom and region historically known as Hotan on the southern Silk Road in what is now Xinjiang, China.
-
D.
Suihua
Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
-
E.
Shàoyáng
Shàoyáng is a prefecture-level city in southwestern Hunan Province, China, known for its long history, diverse ethnic culture, and role as a regional transportation and commercial hub.
- 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: Xuanhuai Triple: [Sheng Xuanhuai, givenName, Xuanhuai]
Generated description
Xuanhuai is the given name of Sheng Xuanhuai, a prominent late Qing dynasty Chinese official, industrialist, and key figure in the Self-Strengthening Movement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xuanhuai Target entity description: Xuanhuai is the given name of Sheng Xuanhuai, a prominent late Qing dynasty Chinese official, industrialist, and key figure in the Self-Strengthening Movement.
-
A.
Shilun
Shilun is the given name of Song Shilun, a prominent Chinese military commander and general of the People’s Liberation Army.
-
B.
Lianghe
Lianghe is a town in southwestern China's Yunnan province, known as the seat of Lianghe County within the Dehong Dai and Jingpo Autonomous Prefecture.
-
C.
Yutian
Yutian is the ancient name of the oasis kingdom and region historically known as Hotan on the southern Silk Road in what is now Xinjiang, China.
-
D.
Suihua
Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
-
E.
Shàoyáng
Shàoyáng is a prefecture-level city in southwestern Hunan Province, China, known for its long history, diverse ethnic culture, and role as a regional transportation and commercial hub.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b359ac8190b3683cc6b9c70a71 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90de6e9508190a1cdf348ec542dd5 |
completed | April 10, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_69d9107c75108190994939ab46aa642f |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9154c922c81909991f87f89c083cd |
completed | April 10, 2026, 3:20 p.m. |
Created at: April 6, 2026, 12:27 p.m.