Triple
T18501946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gao Gang |
E452095
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gao Gang |
—
|
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 Gang | Statement: [Gao Gang, name, Gao Gang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gao Gang Context triple: [Gao Gang, name, Gao Gang]
-
A.
Gao Gang
chosen
Gao Gang was a prominent early Chinese Communist leader who held powerful political and military positions in the 1940s–1950s before being purged in a major party scandal.
-
B.
Xu Fugui
Xu Fugui is the tragic yet resilient protagonist of Yu Hua’s novel "To Live," whose life story reflects the suffering and endurance of ordinary people amid China’s turbulent 20th-century history.
-
C.
Gao Junman
Gao Junman was the wife of Chinese revolutionary and intellectual Chen Duxiu, associated with the early Chinese Communist movement.
-
D.
Gao Enman
Gao Enman is an actor known for appearing in the acclaimed Chinese film "Not One Less," directed by Zhang Yimou.
-
E.
Guan Qihui
Guan Qihui is a Chinese sculptor best known for designing the iconic Five Rams Statue in Guangzhou.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c535908190bdc90c58fc5bdaf7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 11:36 a.m.