Triple
T8045767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sima Guang |
E187546
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 司馬光 |
E187546
|
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: 司馬光 | Statement: [Sima Guang, nativeName, 司馬光]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 司馬光 Context triple: [Sima Guang, nativeName, 司馬光]
-
A.
Sima Guang
chosen
Sima Guang was an influential Song dynasty historian and statesman best known for compiling the monumental historical chronicle "Zizhi Tongjian."
-
B.
Ouyang Xiu
Ouyang Xiu was an influential Song dynasty statesman, historian, and literary figure renowned for his prose, poetry, and role in shaping classical Chinese literature and scholarship.
-
C.
He Zizhen
He Zizhen was a Chinese revolutionary and early Communist Party member best known as one of Mao Zedong’s wives and a participant in the Long March.
-
D.
Ban Gu
Ban Gu was a prominent 1st-century Chinese historian and scholar of the Eastern Han dynasty, best known for authoring one of China’s most important official dynastic histories.
-
E.
Chao Cuo
Chao Cuo was an influential early Han dynasty statesman and reformer whose policies and advice on centralization and frontier defense helped shape imperial governance in China.
- 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_69ca82b00cb48190b59a300f70e97bd7 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f4d9ddc8190a7dcf85ed47ee6c3 |
completed | March 31, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5711d2bc8190911f2cade7596be5 |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:24 p.m.