Triple
T21868610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidney Lau Cantonese romanization |
E539946
|
entity |
| Predicate | developedBy |
P73
|
FINISHED |
| Object | Sidney Lau |
—
|
NE NERFINISHED |
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: Sidney Lau | Statement: [Sidney Lau Cantonese romanization, developedBy, Sidney Lau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidney Lau Context triple: [Sidney Lau Cantonese romanization, developedBy, Sidney Lau]
-
A.
Sidney Lau
chosen
Sidney Lau was a Hong Kong-based linguist and educator best known for developing a widely used romanization system for Cantonese.
-
B.
Charles Lai
Charles Lai is a community leader and cultural advocate best known for co-founding the Museum of Chinese in America, which preserves and presents the history and experiences of Chinese Americans.
-
C.
Edgar Cheng
Edgar Cheng is a prominent Hong Kong businessman and public figure known for his leadership roles in finance and civic affairs.
-
D.
Benny Lau
Benny Lau is a technology entrepreneur best known as a founder of ATI Technologies, a pioneering company in the graphics processing industry.
-
E.
Alvin Leong
Alvin Leong is a music producer known for his work on the song "Shall We Talk."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33305d081908cd070134420607a |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 6:57 p.m.