Triple
T23250433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RM |
E581716
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Big Hit Music |
—
|
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: Big Hit Music | Statement: [RM, recordLabel, Big Hit Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Hit Music Context triple: [RM, recordLabel, Big Hit Music]
-
A.
HYBE Corporation
chosen
HYBE Corporation is a South Korean entertainment and media company best known for managing major K-pop acts such as BTS and Seventeen and expanding into global music, technology, and content production.
-
B.
The Big Hit
The Big Hit is a 1998 action-comedy film about a beleaguered hitman whose kidnapping scheme spirals out of control.
-
C.
YG Entertainment
YG Entertainment is a major South Korean entertainment company and record label known for managing prominent K-pop artists and producing globally influential music.
-
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.
DF Entertainment
DF Entertainment is a production and entertainment company known for organizing and promoting live music events and large-scale shows.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f5aa9081909775fb7f7dc660b3 |
completed | April 29, 2026, 5:15 a.m. |
Created at: April 17, 2026, 4:10 p.m.