Triple
T2157425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wing Lei |
E47922
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wing Lei |
E47922
|
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: Wing Lei | Statement: [Wing Lei, name, Wing Lei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wing Lei Context triple: [Wing Lei, name, Wing Lei]
-
A.
Wing Lei
chosen
Wing Lei is an upscale Chinese fine-dining restaurant at Wynn Las Vegas, renowned for its elegant décor and refined Cantonese cuisine.
-
B.
Hung Sin Nui
Hung Sin Nui was a renowned Cantonese opera diva and film actress, celebrated as one of the most iconic performers in the history of Cantonese opera.
-
C.
Ronnie Chan
Ronnie Chan is a Hong Kong billionaire businessman and philanthropist best known as the chairman of Hang Lung Group and for his prominent role in property development and higher-education philanthropy.
-
D.
Savio Kwan
Savio Kwan is a business executive best known for his leadership roles at Alibaba Group, where he helped guide the company’s early growth and international expansion.
-
E.
Wong Sam Sing
Wong Sam Sing was the father of pioneering Chinese American film star Anna May Wong and a Chinese immigrant who ran a laundry business in Los Angeles.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe68fe0c8190beb5db003738a6e5 |
completed | March 7, 2026, 5:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58e53fe481908fa4035ee98bd6ca |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.