Triple
T34802233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MuchMusic USA |
E1003246
|
entity |
| Predicate | severedBrandingRelationshipIn |
P181493
|
FINISHED |
| Object | early 2000s |
—
|
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: early 2000s | Statement: [MuchMusic USA, severedBrandingRelationshipIn, early 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: severedBrandingRelationshipIn Context triple: [MuchMusic USA, severedBrandingRelationshipIn, early 2000s]
-
A.
relatedBrand
Indicates a relationship where one brand is associated with, connected to, or otherwise related to another brand.
-
B.
brandInvolved
Indicates that a particular brand participates in, is associated with, or plays a role in the specified event, activity, or context.
-
C.
brandIncorporatedInto
Indicates that one brand has been merged into, absorbed by, or otherwise formally integrated as part of another brand.
-
D.
closedAsBrand
Indicates that an entity has been shut down or discontinued specifically as part of a brand-related decision or reorganization.
-
E.
hasBrandSplit
Indicates that a single brand has been divided into multiple distinct sub-brands or brand lines.
- F. None of above. chosen
Provenance (4 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ab085088190ace5734dcc9f1167 |
completed | May 3, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77a39135081908ae22d2a23b44e74 |
completed | May 3, 2026, 4:39 p.m. |
Created at: May 3, 2026, 3:59 p.m.