Triple
T5572873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Min Chu-i |
E146244
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Cheng Maoyun |
E562711
|
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: Cheng Maoyun | Statement: [San Min Chu-i, musicBy, Cheng Maoyun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheng Maoyun Context triple: [San Min Chu-i, musicBy, Cheng Maoyun]
-
A.
Cheng Maoyun
chosen
Cheng Maoyun was a Chinese composer best known for writing the music to the National Anthem of the Republic of China ("San Min Chu-i").
-
B.
Cheng Qianyun
Cheng Qianyun was the wife of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People's Republic of China.
-
C.
He Mengxiong
He Mengxiong was a Chinese military officer and revolutionary associated with early 20th-century nationalist movements.
-
D.
Chen Yaozu
Chen Yaozu was a Chinese military figure and graduate of the prestigious Yunnan Military Academy, known for producing many influential officers in modern Chinese history.
-
E.
Wu Jingyu
Wu Jingyu is a Chinese taekwondo athlete and multiple-time Olympic gold medalist renowned as one of the sport’s most successful competitors.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02052dd0481909aba6863831357eb |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11331275c8190950247127d8e33c6 |
completed | March 23, 2026, 10:17 a.m. |
Created at: March 22, 2026, 3:37 p.m.