Triple
T18358251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Songs |
E439849
|
entity |
| Predicate | catalogBrand |
P130800
|
FINISHED |
| Object | Beatles song catalog |
—
|
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: Beatles song catalog | Statement: [Northern Songs, catalogBrand, Beatles song catalog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catalogBrand Context triple: [Northern Songs, catalogBrand, Beatles song catalog]
-
A.
brandNameType
Indicates the specific type or category associated with a brand name within a broader branding or naming system.
-
B.
parentBrand
Indicates that one brand is the overarching or owning brand from which another brand is derived or subordinated.
-
C.
usedBrand
Indicates that an entity has utilized, applied, or operated a particular brand in some context.
-
D.
hasBrandName
Indicates that an entity is associated with or identified by a specific brand name.
-
E.
usedBrandOf
Indicates that one entity made use of or operated an item, product, or service associated with a particular brand.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d88bc481909bcfd2e8984b7216 |
completed | April 19, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a1bda48190a9cd1db436d4be62 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:37 a.m.