Triple
T15132995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slide Around |
E361467
|
entity |
| Predicate | hasSongwriter |
P1360
|
FINISHED |
| Object | Juke Wong |
E1137869
|
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: Juke Wong | Statement: [Slide Around, hasSongwriter, Juke Wong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juke Wong Context triple: [Slide Around, hasSongwriter, Juke Wong]
-
A.
Juke Wong
chosen
Juke Wong is a music producer known for his work on the track "Slide Around."
-
B.
Johnny Chiang
Johnny Chiang is a Taiwanese politician who has served as a prominent leader within the Kuomintang (KMT) party and as a legislator in Taiwan’s Legislative Yuan.
-
C.
Marcus Wong
Marcus Wong is a Canadian municipal politician who serves as the mayor of West Vancouver, British Columbia.
-
D.
Robbi Chong
Robbi Chong is a Canadian actress and former model known for her film and television roles in the 1980s and 1990s.
-
E.
Sean Wong
Sean Wong is an American writer and editor known for his contributions to Asian American literature and for co-founding the Before Columbus Foundation, which promotes multicultural literature.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b29a4c819087f8818e3f5788f5 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfe8802c81909af9dd11a7805f31 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:06 a.m.