Triple
T7724385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ma Xiaotian |
E175092
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 马晓天 |
E175092
|
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: 马晓天 | Statement: [Ma Xiaotian, nativeName, 马晓天]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 马晓天 Context triple: [Ma Xiaotian, nativeName, 马晓天]
-
A.
庄明理
庄明理 is best known as the wife of Nobel Prize–winning physicist and “father of fiber optics” Charles K. Kao.
-
B.
梅林茂
梅林茂は、『花様年華』や『HERO』などで知られる、日本を代表する映画音楽作曲家です。
-
C.
Ma Xiaotian
chosen
Ma Xiaotian is a Chinese air force general who served as Commander of the People's Liberation Army Air Force.
-
D.
Ma Xiangbo
Ma Xiangbo was a prominent Chinese Jesuit priest, educator, and scholar who played a key role in modern Chinese higher education and founded several influential universities.
-
E.
He Jianfeng
He Jianfeng is a Chinese entrepreneur and art patron best known as the founder of the contemporary art institution He Art Museum.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7031279708190a3a5fb64f9206974 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b51faa348190b4fa0b5a307c83db |
completed | March 29, 2026, 5:14 a.m. |
Created at: March 27, 2026, 4:05 p.m.