Triple
T12926108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Before He Cheats |
E309247
|
entity |
| Predicate | RIAACertificationUnits |
P23846
|
FINISHED |
| Object | over 5 million units |
—
|
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 5 million units | Statement: [Before He Cheats, RIAACertificationUnits, over 5 million units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RIAACertificationUnits Context triple: [Before He Cheats, RIAACertificationUnits, over 5 million units]
-
A.
RIAACertificationUS
chosen
Indicates that an entity holds a RIAA (Recording Industry Association of America) certification within the United States, such as gold, platinum, or multi-platinum status.
-
B.
topBillboard200AlbumWinner
Indicates that an album is the one that reached the number-one position on the Billboard 200 chart for a given time period.
-
C.
numberOfTop10SinglesUS
Indicates the number of singles by an entity that have reached the top 10 positions on music charts in the United States.
-
D.
weeksAtNumberOneUSBillboardHot100
Indicates the number of weeks a song or recording remained at the #1 position on the US Billboard Hot 100 chart.
-
E.
weeksAtWorldNo1
Indicates the number of weeks an entity has held the world number one ranking in its field.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971eb17c88190bf523da897172a0c |
completed | April 10, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69d96fab4d0881909a7a4d66bab9aa85 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:42 p.m.