Triple
T17026068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Lucky Stars |
E413065
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Richard Ng |
—
|
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: Richard Ng | Statement: [My Lucky Stars, hasCastMember, Richard Ng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Ng Context triple: [My Lucky Stars, hasCastMember, Richard Ng]
-
A.
Richard Ng
chosen
Richard Ng was a popular Hong Kong actor and comedian best known for his roles in 1970s–1990s Cantonese comedies and action films.
-
B.
Richard Wong
Richard Wong is a cinematographer and filmmaker known for his work on feature films such as "Snow Flower and the Secret Fan."
-
C.
Carl Ng
Carl Ng is a Hong Kong actor known for his roles in action and crime films, including a prominent part in the martial arts movie "The Man with the Iron Fists 2."
-
D.
Stephen Wong
Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
-
E.
Konrad Ng
Konrad Ng is a Canadian-American scholar and former director of the Smithsonian Asian Pacific American Center, known also as the husband of Maya Soetoro-Ng, Barack Obama’s half-sister.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d46a5081908bc5681621dd8534 |
completed | April 18, 2026, 7:04 p.m. |
Created at: April 10, 2026, 5:33 a.m.