Triple
T15278341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xu Shichang |
E365200
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Shichang
Shichang is the given name of Xu Shichang, a prominent early 20th-century Chinese politician who served as President of the Republic of China.
|
E1154483
|
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: Shichang | Statement: [Xu Shichang, givenName, Shichang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shichang Context triple: [Xu Shichang, givenName, Shichang]
-
A.
Changshou
Changshou was a Chinese imperial era name used during the reign of Empress Wu Zetian in the Tang dynasty.
-
B.
Shancheng
Shancheng is a Chinese nickname meaning "Mountain City," commonly used to refer to the city of Chongqing, known for its steep terrain and hilly urban landscape.
-
C.
Yangsan
Yangsan is a city in South Gyeongsang Province, South Korea, known as a growing residential and educational hub near Busan.
-
D.
Yuchang
Yuchang is a Chinese actor and singer best known for his roles in popular youth and coming-of-age films and television dramas.
-
E.
Weida
Weida is a river in eastern Germany that serves as a significant tributary of the Weiße Elster.
- 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: Shichang Triple: [Xu Shichang, givenName, Shichang]
Generated description
Shichang is the given name of Xu Shichang, a prominent early 20th-century Chinese politician who served as President of the Republic of China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shichang Target entity description: Shichang is the given name of Xu Shichang, a prominent early 20th-century Chinese politician who served as President of the Republic of China.
-
A.
Changshou
Changshou was a Chinese imperial era name used during the reign of Empress Wu Zetian in the Tang dynasty.
-
B.
Shancheng
Shancheng is a Chinese nickname meaning "Mountain City," commonly used to refer to the city of Chongqing, known for its steep terrain and hilly urban landscape.
-
C.
Yangsan
Yangsan is a city in South Gyeongsang Province, South Korea, known as a growing residential and educational hub near Busan.
-
D.
Yuchang
Yuchang is a Chinese actor and singer best known for his roles in popular youth and coming-of-age films and television dramas.
-
E.
Weida
Weida is a river in eastern Germany that serves as a significant tributary of the Weiße Elster.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00953bc848190b83919f39d5ee37b |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff133b333c81908e38e9681bf81e40 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff142e99e081909d01cac0416f1bde |
completed | May 9, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14c61eb08190ba854b541eb1ce14 |
completed | May 9, 2026, 11:04 a.m. |
Created at: April 10, 2026, 3:14 a.m.