Triple
T1645273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song dynasty |
E35566
|
entity |
| Predicate | notablePerson |
P304
|
FINISHED |
| Object |
Sima Guang
Sima Guang was an influential Song dynasty historian and statesman best known for compiling the monumental historical chronicle "Zizhi Tongjian."
|
E187546
|
NE FINISHED |
How this triple was built (4 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: Sima Guang | Statement: [Song dynasty, notablePerson, Sima Guang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sima Guang Context triple: [Song dynasty, notablePerson, Sima Guang]
-
A.
Song Zheyuan
Song Zheyuan was a Chinese Nationalist general best known for leading forces in North China during the early stages of the Second Sino-Japanese War.
-
B.
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.
-
C.
Shan Zuchang
Shan Zuchang is a Chinese businessman best known for serving as chairman of English football club West Bromwich Albion.
-
D.
Kun Huang
Kun Huang was a prominent Chinese physicist and crystallographer known for his influential work in solid-state physics and lattice dynamics.
-
E.
Wang Jian
Wang Jian was a prominent Qin dynasty general whose military campaigns were crucial in the unification of China under Qin rule.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sima Guang Triple: [Song dynasty, notablePerson, Sima Guang]
Generated description
Sima Guang was an influential Song dynasty historian and statesman best known for compiling the monumental historical chronicle "Zizhi Tongjian."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sima Guang Target entity description: Sima Guang was an influential Song dynasty historian and statesman best known for compiling the monumental historical chronicle "Zizhi Tongjian."
-
A.
Song Zheyuan
Song Zheyuan was a Chinese Nationalist general best known for leading forces in North China during the early stages of the Second Sino-Japanese War.
-
B.
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.
-
C.
Shan Zuchang
Shan Zuchang is a Chinese businessman best known for serving as chairman of English football club West Bromwich Albion.
-
D.
Kun Huang
Kun Huang was a prominent Chinese physicist and crystallographer known for his influential work in solid-state physics and lattice dynamics.
-
E.
Wang Jian
Wang Jian was a prominent Qin dynasty general whose military campaigns were crucial in the unification of China under Qin rule.
- F. None of above. chosen
Provenance (5 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a41e5a08190b97dd1c0b12c662a |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6818c8288190af5307384f1c8080 |
completed | March 8, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_69ad68edbd2c819090c6556966eb279a |
completed | March 8, 2026, 12:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad69724c9c8190a2314a8f30f18f7d |
completed | March 8, 2026, 12:20 p.m. |
Created at: March 4, 2026, 7:28 p.m.