Triple
T17445656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Gao |
E424774
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Gao 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: Gao Wei | Statement: [House of Gao, hasMember, Gao Wei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gao Wei Context triple: [House of Gao, hasMember, Gao Wei]
-
A.
Gao Wei
chosen
Gao Wei was the last emperor of the Northern Qi dynasty in China, whose ineffective rule and court decadence contributed to the rapid downfall of his state.
-
B.
Gao Hong
Gao Hong is a former Chinese women's football goalkeeper renowned for her standout performances for China’s national team, including at the FIFA Women's World Cup.
-
C.
Gao Yan
Gao Yan was a member of the ruling Gao clan that founded and led the Northern Qi dynasty in ancient China.
-
D.
Bo Gu
Bo Gu was a prominent early Chinese Communist leader who studied in the Soviet Union and briefly served as the Party’s de facto top leader in the early 1930s.
-
E.
Yuan Wenkang
Yuan Wenkang is a Chinese actor known for his roles in film and television dramas.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffafec48190b25980318cea353f |
completed | April 19, 2026, 3:46 a.m. |
Created at: April 10, 2026, 5:47 a.m.