Triple
T12645047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bai Xianyong |
E302000
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bai Xianyong |
E302000
|
NE FINISHED |
How this triple was built (2 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 Xianyong, name, Bai Xianyong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bai Xianyong Context triple: [Bai Xianyong, name, Bai Xianyong]
-
A.
Bai Xianyong
chosen
Bai Xianyong is a prominent Chinese-American writer and scholar best known for his modernist fiction and influential short story collection "Taipei People."
-
B.
Liu Cunhou
Liu Cunhou was a Chinese military officer and warlord associated with the Yunnan clique during the early Republican era.
-
C.
Zhang Chong
Zhang Chong was a prominent Chinese military and political figure from Yunnan who rose to influence during the Republican era and the early years of the People’s Republic of China.
-
D.
Chen Yaozu
Chen Yaozu was a Chinese military figure and graduate of the prestigious Yunnan Military Academy, known for producing many influential officers in modern Chinese history.
-
E.
Duan Zhigui
Duan Zhigui was a Chinese warlord and military commander of the early Republican era, associated with the Anhui clique’s political and military activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9614bf2f881909976becdf747f4fb |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716b1c7c081909154a59516b59d63 |
completed | May 3, 2026, 9:34 a.m. |
Created at: April 9, 2026, 5:17 p.m.