Triple
T10066697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Set Fire to the Rain |
E213118
|
entity |
| Predicate | certificationWorldwide |
P91917
|
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: [Set Fire to the Rain, certificationWorldwide, multi-platinum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: certificationWorldwide Context triple: [Set Fire to the Rain, certificationWorldwide, multi-platinum]
-
A.
typeOfCertification
Indicates the specific kind or category of certification associated with an entity.
-
B.
certificationUS
Indicates that an entity holds or is associated with a certification that is recognized, issued, or valid within the United States.
-
C.
certificationUK
Indicates that an entity holds or is associated with a certification that is specifically recognized or issued within the United Kingdom.
-
D.
certificationBy
Indicates that one entity formally attests to, approves, or validates the qualifications, standards, or authenticity of another entity.
-
E.
includesCertification
Indicates that one entity contains, lists, or encompasses a specified certification as part of its attributes or offerings.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff63a4c8190bb08a0428aafa189 |
completed | April 2, 2026, 2:09 a.m. |
| PD | Predicate disambiguation | batch_69cd4b92573481909389bc6148ae7ea8 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:58 p.m.