Triple
T21380076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guo Ailun |
E527324
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Guo Ailun |
—
|
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: Guo Ailun | Statement: [Guo Ailun, name, Guo Ailun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guo Ailun Context triple: [Guo Ailun, name, Guo Ailun]
-
A.
Guo Ailun
chosen
Guo Ailun is a Chinese professional basketball player, best known as a star guard for the Liaoning Flying Leopards and a longtime member of the Chinese national team.
-
B.
Guo Qilin
Guo Qilin is a Chinese xiangsheng (crosstalk) performer and actor known for his comedic roles in film and television, as well as for being a prominent young figure in traditional Chinese comedy.
-
C.
Guo Wenjing
Guo Wenjing is a prominent contemporary Chinese composer known for his orchestral, chamber, and operatic works that blend Western techniques with traditional Chinese musical elements.
-
D.
Guo Yi
Guo Yi is a supporting character in the British thriller film "Dirty Pretty Things," depicted as an immigrant navigating the harsh realities of London's underground economy.
-
E.
Luo Peijin
Luo Peijin was a Chinese military officer and notable graduate of the Yunnan Military Academy who played a role in early 20th-century Chinese military and political affairs.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cdab8c8190a7eebe6e5961ee75 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:11 p.m.