Triple
T8784024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ai Qing |
E209000
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Jiang Zhenghan |
E803689
|
NE FINISHED |
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: Jiang Zhenghan | Statement: [Ai Qing, alternateName, Jiang Zhenghan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jiang Zhenghan Context triple: [Ai Qing, alternateName, Jiang Zhenghan]
-
A.
Jiang Haicheng
chosen
Jiang Haicheng, better known by his pen name Ai Qing, was a prominent 20th-century Chinese poet whose work and life significantly influenced modern Chinese literature and culture.
-
B.
Zhu Jianhua
Zhu Jianhua is a former Chinese high jumper who set multiple world records in the 1980s and won a bronze medal at the 1984 Los Angeles Olympic Games.
-
C.
Liang Xinjun
Liang Xinjun is a Chinese entrepreneur best known as a co-founder and former executive of the diversified conglomerate Fosun Group.
-
D.
Xue Hanqin
Xue Hanqin is a Chinese jurist and diplomat who has served as a judge and Vice President of the International Court of Justice.
-
E.
Yuan Jinhua
Yuan Jinhua is a Chinese entrepreneur best known for establishing Sany Heavy Industry, one of China’s leading construction machinery manufacturers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f72f4bc8190b85bd051d3db6881 |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14bb716cc819096a1e02e61db2e69 |
completed | April 4, 2026, 5:34 p.m. |
Created at: March 30, 2026, 6:42 p.m.