Triple
T16005607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MCA Music Entertainment Group |
E388208
|
entity |
| Predicate | ownedBusiness |
P110112
|
FINISHED |
| Object | music-related businesses under the MCA brand |
—
|
LITERAL 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: music-related businesses under the MCA brand | Statement: [MCA Music Entertainment Group, ownedBusiness, music-related businesses under the MCA brand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownedBusiness Context triple: [MCA Music Entertainment Group, ownedBusiness, music-related businesses under the MCA brand]
-
A.
hasBusiness
Indicates that one entity owns, operates, or is formally associated with a business entity.
-
B.
hasBusinesses
chosen
Indicates that an entity owns, operates, or is associated with one or more businesses.
-
C.
centralBusiness
Indicates that an entity functions as the primary commercial or economic hub (central business area or role) in relation to another entity.
-
D.
stateOfBusiness
Indicates the current operational or financial condition or status of a business at a given point in time.
-
E.
businessBase
Indicates that one entity serves as the primary business foundation, core location, or main operational base for another entity.
- F. None of above.
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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.