Triple
T19051502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China men’s national basketball team |
E466269
|
entity |
| Predicate | hasNotablePlayer |
P9730
|
FINISHED |
| Object | Liu Wei |
—
|
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: Liu Wei | Statement: [China men’s national basketball team, hasNotablePlayer, Liu Wei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liu Wei Context triple: [China men’s national basketball team, hasNotablePlayer, Liu Wei]
-
A.
Liu Wei
chosen
Liu Wei is a prominent Chinese basketball player and longtime point guard for the Shanghai Sharks who also represented China in multiple international competitions, including the Olympics.
-
B.
Guo Wei
Guo Wei was a 10th-century Chinese military leader who founded and ruled the Later Zhou dynasty during the Five Dynasties and Ten Kingdoms period.
-
C.
Liu Li
Liu Li was a son of Liu Bei, the founding emperor of Shu Han during China’s Three Kingdoms period.
-
D.
Li Xiang
Li Xiang is a Chinese entrepreneur best known as the founder and CEO of Li Auto, a leading electric vehicle manufacturer in China.
-
E.
Lei Yixin
Lei Yixin is a Chinese sculptor internationally known for creating the monumental statue of Martin Luther King Jr. at the Washington, D.C. memorial.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc031ff881908e8c68c7aaff3733 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 10, 2026, 12:03 p.m.