Triple
T12054790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 南开大学 |
E287010
|
entity |
| Predicate | 知名校友 |
P82963
|
FINISHED |
| Object | 温家宝 |
E476070
|
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: 温家宝 | Statement: [南开大学, 知名校友, 温家宝]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 温家宝 Context triple: [南开大学, 知名校友, 温家宝]
-
A.
Wen Jiabao
chosen
Wen Jiabao is a Chinese politician who served as Premier of the People's Republic of China from 2003 to 2013.
-
B.
Li Keqiang
Li Keqiang was a Chinese economist and politician who served as the Premier of the People's Republic of China from 2013 to 2023.
-
C.
Zhu Rongji
Zhu Rongji is a prominent Chinese politician and reformist technocrat who served as Premier of the People's Republic of China from 1998 to 2003, overseeing major economic restructuring and market-oriented reforms.
-
D.
Zhang Dejiang
Zhang Dejiang is a retired Chinese politician who served as a top Communist Party leader and was a member of the Politburo Standing Committee, playing a key role in national governance and legislative affairs.
-
E.
Wang Qishan
Wang Qishan is a prominent Chinese politician best known for leading Xi Jinping’s sweeping anti-corruption campaign as head of the Communist Party’s top disciplinary body.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915124e4c8190b0264c2a09e3c2f3 |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dea043c8190a74ffb448bbae5d0 |
completed | May 1, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:47 p.m.