Triple
T17070067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hua Zhou |
E414192
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Fa Zhou |
E342387
|
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: Fa Zhou | Statement: [Hua Zhou, basedOn, Fa Zhou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fa Zhou Context triple: [Hua Zhou, basedOn, Fa Zhou]
-
A.
Fa Zhou
chosen
Fa Zhou is Mulan’s elderly, honorable father and a former soldier whose injury and devotion to family drive much of the film’s emotional conflict.
-
B.
Zhou
Zhou is a common Chinese surname borne by many notable figures in Chinese history and politics.
-
C.
Cheng Tang
Cheng Tang was the founding king of China's Shang dynasty, renowned for toppling the Xia dynasty and establishing a new ruling order.
-
D.
Xi Xia
Xi Xia is another name for the Western Xia dynasty, a medieval Tangut-ruled empire that controlled parts of northwestern China from the 11th to early 13th centuries before being conquered by the Mongols.
-
E.
Li Zhao
Li Zhao was the wife of former Chinese Communist Party General Secretary Hu Yaobang and is known primarily for her role as his spouse during his prominent political career.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbbfb1f08190807301ff6e573cf5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01235278d48190bacc7881b9eb1ea1 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.