Triple
T426961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lei Yixin |
E9629
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 雷宜锌 |
E9629
|
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: 雷宜锌 | Statement: [Lei Yixin, nativeName, 雷宜锌]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 雷宜锌 Context triple: [Lei Yixin, nativeName, 雷宜锌]
-
A.
瑞宝章
瑞宝章 is a Japanese national order of merit awarded by the government of Japan to individuals for long-term distinguished service in public affairs and other fields.
-
B.
Li Min
Li Min is the daughter of Chinese Communist leader Mao Zedong and his third wife He Zizhen, known primarily for her familial connection to Mao.
-
C.
Jing Tian
Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
-
D.
Li Qiang
Li Qiang is a Chinese politician serving as the premier of the People's Republic of China and a close ally of President Xi Jinping.
-
E.
Lei Yixin
chosen
Lei Yixin is a Chinese sculptor internationally known for creating the monumental statue of Martin Luther King Jr. at the Washington, D.C. memorial.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eed691c4819092b7e57306114bbc |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a42f665c2881908850bce36cdf74b8 |
completed | March 1, 2026, 12:21 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.