Triple
T11438051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Yao |
E271060
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 姚期智 |
E271060
|
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: 姚期智 | Statement: [Andrew Yao, nativeName, 姚期智]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 姚期智 Context triple: [Andrew Yao, nativeName, 姚期智]
-
A.
Zhu Guangya
Zhu Guangya was a prominent Chinese nuclear physicist and key architect of China’s nuclear weapons and energy programs.
-
B.
Liu Yongqing
Liu Yongqing is a Chinese public figure best known as the wife of former Chinese president Hu Jintao and for her low-profile role as China's first lady during his tenure.
-
C.
Ye Zhengguang
Ye Zhengguang is a descendant of prominent Chinese military leader and politician Ye Ting.
-
D.
Andrew Yao
chosen
Andrew Yao is a Chinese-American computer scientist renowned for his foundational contributions to computational complexity theory and as a recipient of the Turing Award.
-
E.
Chen Yongren
Chen Yongren is the undercover police officer protagonist of the Hong Kong crime thriller "Infernal Affairs," whose character later inspired Billy Costigan in the American remake "The Departed."
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8088711ec8190afae9f4d9f2a11ca |
completed | April 9, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d38727fc8190b5daac83e03491e6 |
completed | April 20, 2026, 7:19 a.m. |
Created at: April 8, 2026, 9:35 p.m.