Triple
T33983352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lukas Graham |
E871344
|
entity |
| Predicate | 7 YearsCertification |
P60165
|
FINISHED |
| Object | multi-platinum |
—
|
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: multi-platinum | Statement: [Lukas Graham, 7 YearsCertification, multi-platinum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 7 YearsCertification Context triple: [Lukas Graham, 7 YearsCertification, multi-platinum]
-
A.
typeOfCertification
chosen
Indicates the specific kind or category of certification associated with an entity.
-
B.
includesCertification
Indicates that one entity contains, lists, or encompasses a specified certification as part of its attributes or offerings.
-
C.
certificationLevel
Indicates the specific rank or degree of formal qualification or authorization that an entity has achieved within a defined certification system.
-
D.
isCertified
Indicates that an entity has been officially recognized as meeting specific standards or qualifications by an authorized body.
-
E.
certificationDate
Indicates the date on which an entity was officially certified or granted a formal certification.
- 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:50 a.m.