Triple
T9668081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal Music Latin Entertainment |
E233755
|
entity |
| Predicate | labelGroupFor |
P16559
|
FINISHED |
| Object | multiple Latin music labels |
—
|
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: multiple Latin music labels | Statement: [Universal Music Latin Entertainment, labelGroupFor, multiple Latin music labels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labelGroupFor Context triple: [Universal Music Latin Entertainment, labelGroupFor, multiple Latin music labels]
-
A.
labelGroup
chosen
Indicates that an entity is assigned to or associated with a particular group label used for categorization or organization.
-
B.
labelOf
Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
-
C.
labelMate
Indicates that two entities are associated with the same label, such as being signed to or represented by the same organization, brand, or record label.
-
D.
labelCatalog
Indicates assigning or associating a descriptive label or identifier with a catalog entity or catalog entry.
-
E.
labelIndication
Indicates that a label or designation is assigned to an entity to specify its indication, purpose, or intended use.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c3c06e4819080c1b8e66faa482f |
completed | April 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b3239c8190b3ae3b9bd121e4bd |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:15 p.m.