Triple
T15247160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 萧子升 |
E364412
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | 毛泽东 |
E1757
|
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: 毛泽东 | Statement: [萧子升, associatedWith, 毛泽东]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 毛泽东 Context triple: [萧子升, associatedWith, 毛泽东]
-
A.
周恩来
周恩来是中华人民共和国的开国总理和重要外交家，被视为中国现代史上最具影响力的政治家之一。
-
B.
Mao Zedong
chosen
Mao Zedong was the founding father of the People's Republic of China and the leader of the Chinese Communist Party whose political, military, and ideological leadership reshaped 20th-century China.
-
C.
Mao Zejian
Mao Zejian was a lesser-known member of the Mao family who was involved in early Chinese revolutionary activities and was executed at a young age.
-
D.
Zhuang Zedong
Zhuang Zedong was a Chinese table tennis champion best known for his pivotal role in initiating Sino-American rapprochement through ping-pong diplomacy in the early 1970s.
-
E.
Wang Ming
Wang Ming was a prominent early leader and theorist of the Chinese Communist Party who studied in the Soviet Union and played a key role in its internationalist faction.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f4f9d48190b96a7e0c6993cd69 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5f184d481909eb4294ee3648226 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:13 a.m.