Triple
T1786708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Gotta Feeling |
E39408
|
entity |
| Predicate | digitalSales |
P4916
|
FINISHED |
| Object | over 10 million downloads in the United States |
—
|
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: over 10 million downloads in the United States | Statement: [I Gotta Feeling, digitalSales, over 10 million downloads in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: digitalSales Context triple: [I Gotta Feeling, digitalSales, over 10 million downloads in the United States]
-
A.
digitalSalesMilestone
chosen
Indicates that a specific target or significant achievement has been reached in the context of digital product or service sales.
-
B.
digitalProduct
Indicates that one entity is a product that exists in digital form or is delivered electronically rather than physically.
-
C.
saleType
Indicates the specific category or method by which a sale is conducted or classified (e.g., retail, wholesale, auction).
-
D.
commercialAccess
Indicates that an entity is permitted to use or access something for commercial or profit-generating purposes.
-
E.
soldAt
Indicates that a product or item is offered for sale at a particular location, venue, or outlet.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab75457e54819096b8c6ae8c65550c |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61d165688190924962a98e07ff69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.