Triple
T7877766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellow Turban Rebellion |
E182899
|
entity |
| Predicate | opponent |
P437
|
FINISHED |
| Object | Huangfu Song |
E693618
|
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: Huangfu Song | Statement: [Yellow Turban Rebellion, opponent, Huangfu Song]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huangfu Song Context triple: [Yellow Turban Rebellion, opponent, Huangfu Song]
-
A.
Huangfu Song
chosen
Huangfu Song was a prominent late Eastern Han dynasty general renowned for his decisive campaigns against major rebellions, helping to stabilize imperial authority during a period of widespread unrest.
-
B.
Liu Cunhou
Liu Cunhou was a Chinese military officer and warlord associated with the Yunnan clique during the early Republican era.
-
C.
He Zhizhang
He Zhizhang was a prominent Tang dynasty poet and official known for his refined literary style and contributions to classical Chinese poetry.
-
D.
Liu Ye
Liu Ye is a Chinese actor known for his versatile performances in both commercial blockbusters and critically acclaimed films.
-
E.
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."
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39bc07208190aa452cef8ca5b0d6 |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b7fef308190bbc74e13f4205192 |
completed | March 31, 2026, 5:28 a.m. |
Created at: March 30, 2026, 4:57 p.m.