Triple
T16549528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriella Sarmiento Wilson |
E402031
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | MBK Entertainment |
E82664
|
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: MBK Entertainment | Statement: [Gabriella Sarmiento Wilson, recordLabel, MBK Entertainment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MBK Entertainment Context triple: [Gabriella Sarmiento Wilson, recordLabel, MBK Entertainment]
-
A.
MBK Entertainment
chosen
MBK Entertainment is a South Korean entertainment company and record label known for managing K-pop artists and producing music and media content.
-
B.
SM Entertainment
SM Entertainment is a major South Korean entertainment company known for producing and managing many of K-pop’s most influential artists and groups.
-
C.
SC Entertainment
SC Entertainment is a film production company known for its involvement in genre cinema, including the 1985 fantasy film "Legend."
-
D.
JYP Entertainment
JYP Entertainment is a major South Korean entertainment company and record label known for producing and managing popular K-pop artists and groups.
-
E.
H2F Entertainment
H2F Entertainment is a film production company best known for its involvement in the hit comedy sequel "Meet the Fockers."
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc323a88190b5c2a34de0a3c7f0 |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b6ca44819085145eb48356e7b4 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.