Triple
T18095737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gao Yin |
E433079
|
entity |
| Predicate | reignName |
P32785
|
FINISHED |
| Object | Fei Di |
—
|
NE NERFINISHED |
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: Fei Di | Statement: [Gao Yin, reignName, Fei Di]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fei Di Context triple: [Gao Yin, reignName, Fei Di]
-
A.
Huangguifei
Huangguifei is a high-ranking imperial consort title in ancient China, associated with the legendary Yellow Emperor, Huangdi.
-
B.
Zhuang Fei
Zhuang Fei, better known as Empress Dowager Xiaozhuang, was a highly influential Qing dynasty imperial consort and grandmother of the Kangxi Emperor who played a key role in early Qing court politics.
-
C.
Fei
chosen
Fei is a consort associated with the legendary Yellow Emperor (Huangdi) in ancient Chinese mythology and early imperial tradition.
-
D.
Hui Fei
Hui Fei is a strong-willed and enigmatic courtesan who plays a pivotal role in the 1932 film "Shanghai Express."
-
E.
Lan Di
Lan Di is the cold and ruthless leader of the Chi You Men crime organization and the primary villain who murders Ryo Hazuki’s father in the Shenmue video game series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1c56848190be0b8c80b30dba6c |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.