Triple
T20967965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chen Jingrun |
E516419
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 陈景润 |
—
|
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: 陈景润 | Statement: [Chen Jingrun, nativeName, 陈景润]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 陈景润 Context triple: [Chen Jingrun, nativeName, 陈景润]
-
A.
Chen Jingrun
chosen
Chen Jingrun was a Chinese mathematician renowned for his groundbreaking work in number theory, particularly his significant contributions toward proving the Goldbach conjecture.
-
B.
Zhu Guangya
Zhu Guangya was a prominent Chinese nuclear physicist and key architect of China’s nuclear weapons and energy programs.
-
C.
Liu Yongtan
Liu Yongtan is a prominent Chinese radar and signal processing expert and academician of the Chinese Academy of Sciences known for his major contributions to national defense technology.
-
D.
Chen Yongren
Chen Yongren is the undercover police officer protagonist of the Hong Kong crime thriller "Infernal Affairs," whose character later inspired Billy Costigan in the American remake "The Departed."
-
E.
包信和
包信和 is a prominent Chinese physical chemist and academician of the Chinese Academy of Sciences known for his research in catalysis and energy chemistry.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb9d6b548190af7214ad2468cfbf |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:39 p.m.