Triple
T2334568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bai Chongxi |
E44279
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Bai Xianyong
Bai Xianyong is a prominent Chinese-American writer and scholar best known for his modernist fiction and influential short story collection "Taipei People."
|
E302000
|
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: Bai Xianyong | Statement: [Bai Chongxi, child, Bai Xianyong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bai Xianyong Context triple: [Bai Chongxi, child, Bai Xianyong]
-
A.
Shen Yiqin
Shen Yiqin is a Chinese politician who serves as a senior national leader and prominent advocate for women's affairs in China.
-
B.
Shan Zuchang
Shan Zuchang is a Chinese businessman best known for serving as chairman of English football club West Bromwich Albion.
-
C.
Peng Yuchang
Peng Yuchang is a Chinese actor and singer known for his roles in popular youth films and television dramas.
-
D.
Liang Xiaosheng
Liang Xiaosheng is a prominent Chinese writer and scholar best known for his realist novels depicting ordinary people's lives in contemporary China.
-
E.
Zhang Yue
Zhang Yue is a key member and prominent figure associated with the organization or group known as The B Team.
- 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: Bai Xianyong Triple: [Bai Chongxi, child, Bai Xianyong]
Generated description
Bai Xianyong is a prominent Chinese-American writer and scholar best known for his modernist fiction and influential short story collection "Taipei People."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bai Xianyong Target entity description: Bai Xianyong is a prominent Chinese-American writer and scholar best known for his modernist fiction and influential short story collection "Taipei People."
-
A.
Shen Yiqin
Shen Yiqin is a Chinese politician who serves as a senior national leader and prominent advocate for women's affairs in China.
-
B.
Shan Zuchang
Shan Zuchang is a Chinese businessman best known for serving as chairman of English football club West Bromwich Albion.
-
C.
Peng Yuchang
Peng Yuchang is a Chinese actor and singer known for his roles in popular youth films and television dramas.
-
D.
Liang Xiaosheng
Liang Xiaosheng is a prominent Chinese writer and scholar best known for his realist novels depicting ordinary people's lives in contemporary China.
-
E.
Zhang Yue
Zhang Yue is a key member and prominent figure associated with the organization or group known as The B Team.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc687362c8190a55b3d6cb1580d56 |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce777e5081909ed7e3e60bf33503 |
completed | March 10, 2026, 7:55 a.m. |
| NEDg | Description generation | batch_69afcf0221808190be27bc82d6170fe0 |
completed | March 10, 2026, 7:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcf60d3c88190a2e2bf49cd1ec766 |
completed | March 10, 2026, 7:59 a.m. |
Created at: March 4, 2026, 7:51 p.m.