Triple
T17026006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winners and Sinners |
E413064
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Michael Lai |
—
|
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: Michael Lai | Statement: [Winners and Sinners, musicBy, Michael Lai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Lai Context triple: [Winners and Sinners, musicBy, Michael Lai]
-
A.
Michael Lai
chosen
Michael Lai was a prominent Hong Kong composer and music producer best known for his influential film and television scores.
-
B.
Andrew Hsia
Andrew Hsia is a Taiwanese politician and diplomat known for serving in senior cross-strait and foreign affairs roles, including leadership positions in Taiwan’s Mainland policy and its foreign ministry.
-
C.
Adrian Lau
Adrian Lau is a hip-hop artist and rapper known for his collaborations within the underground rap scene.
-
D.
Ernest Liu
Ernest Liu is an American actor best known for his role as Scott Fuller in the horror film "From Dusk Till Dawn."
-
E.
Michael Wong
Michael Wong is a Hong Kong-based actor and singer known for his roles in action and crime films across Asian cinema.
- 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.