Triple
T13872642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Jinglian |
E333492
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wu Jinglian |
E333492
|
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: Wu Jinglian | Statement: [Wu Jinglian, name, Wu Jinglian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wu Jinglian Context triple: [Wu Jinglian, name, Wu Jinglian]
-
A.
Wu Jinglian
chosen
Wu Jinglian is a prominent Chinese economist known for his influential advocacy of market-oriented reforms and his role in shaping China’s economic policy debates.
-
B.
Liu Songlin
Liu Songlin was the wife of Mao Anqing, the second son of Chinese Communist leader Mao Zedong.
-
C.
Wang Zhenghua
Wang Zhenghua is a Chinese entrepreneur best known as the founder of the low-cost carrier Spring Airlines.
-
D.
Peng Huanwu
Peng Huanwu was a prominent Chinese theoretical physicist known for his contributions to nuclear and particle physics and for helping advance modern physics research in China.
-
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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c638248190bbe5d19f7b88d0f9 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c107c20c81909dff0ca4a59fcc55 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.