Triple
T19376848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Saifei |
E484692
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | He 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: He Saifei | Statement: [He Saifei, name, He Saifei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: He Saifei Context triple: [He Saifei, name, He 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.
Huangguifei
Huangguifei is a high-ranking imperial consort title in ancient China, associated with the legendary Yellow Emperor, Huangdi.
-
C.
Shuo Fu
Shuo Fu is a chapter of the Daoist classic Liezi, traditionally attributed to the philosopher Lie Yukou and known for its collection of philosophical anecdotes and parables.
-
D.
Zejian
Zejian is the given name of Mao Zejian, a lesser-known member of the Mao family associated with Mao Zedong.
-
E.
Meng Sizhao (Silent Wolf)
Meng Sizhao, known as Silent Wolf, is a formidable martial artist character recognized for his deadly combat skills and rivalry with Hades Dai in contemporary wuxia-inspired fiction.
- 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.