Triple
T18952815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cai Guo-Qiang |
E463696
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Guo-Qiang |
—
|
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-Qiang | Statement: [Cai Guo-Qiang, givenName, Guo-Qiang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guo-Qiang Context triple: [Cai Guo-Qiang, givenName, Guo-Qiang]
-
A.
Guo-Qiang
chosen
Guo-Qiang is the given name of Cai Guo-Qiang, a renowned Chinese contemporary artist known for his innovative use of gunpowder and large-scale explosion events.
-
B.
He Guoqiang
He Guoqiang is a retired Chinese politician who served on the Politburo Standing Committee of the Chinese Communist Party and headed its Central Commission for Discipline Inspection.
-
C.
Shaobo Qin
Shaobo Qin is a Chinese acrobat and actor best known for playing the agile explosives expert Yen in the Ocean's film series.
-
D.
Baining Guo
Baining Guo is a prominent computer scientist and researcher in computer graphics and computer vision, known for his influential work at Microsoft Research on topics such as neural rendering and visual computing.
-
E.
Chen Qigang
Chen Qigang is a prominent Chinese-French composer known for his lyrical orchestral works and acclaimed film scores that blend Eastern and Western musical traditions.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d544fef8819091147189ddd89617 |
completed | April 20, 2026, 7:27 a.m. |
Created at: April 10, 2026, noon