Triple
T19376849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Saifei |
E484692
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Saifei |
—
|
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: Saifei | Statement: [He Saifei, givenName, Saifei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saifei Context triple: [He Saifei, givenName, Saifei]
-
A.
He Saifei
chosen
He Saifei is a Chinese actress known for her roles in acclaimed films and television dramas, particularly in period and art-house cinema.
-
B.
Fei
Fei is a consort associated with the legendary Yellow Emperor (Huangdi) in ancient Chinese mythology and early imperial tradition.
-
C.
Yifeng
Yifeng was a Chinese era name used during the reign of Emperor Gaozong of the Tang dynasty.
-
D.
Min Bei
Min Bei is a major northern branch of the Min group of Sinitic (Chinese) languages, spoken primarily in parts of Fujian province in southeastern China.
-
E.
Shaoqi
Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5cfbf48190ac60e3ffa6baa263 |
completed | April 20, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:35 p.m.