Triple
T21378697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guo Boxiong |
E527283
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Guo Boxiong |
—
|
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 Boxiong | Statement: [Guo Boxiong, name, Guo Boxiong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guo Boxiong Context triple: [Guo Boxiong, name, Guo Boxiong]
-
A.
Guo Boxiong
chosen
Guo Boxiong is a former high-ranking Chinese general and vice chairman of the Central Military Commission who was later convicted of corruption.
-
B.
Huang Xingguo
Huang Xingguo is a Chinese politician who served as acting mayor and then mayor of Tianjin before being investigated and convicted on corruption charges.
-
C.
Guo Dingkang
Guo Dingkang is an alternate name for Guo Moruo, a prominent 20th-century Chinese author, poet, historian, and political figure.
-
D.
Jiang Yongbo
Jiang Yongbo is an actor known for his role in the acclaimed family drama film "The Farewell."
-
E.
Guo Shuqing
Guo Shuqing is a prominent Chinese economist and senior financial regulator who has held key positions overseeing China’s banking and insurance sectors.
- 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_69e8b0cb138081909bcbf295483656cb |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:11 p.m.