Triple
T6394617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tha Carter III |
E143910
|
entity |
| Predicate | firstWeekSales |
P64787
|
FINISHED |
| Object | over 1 million copies 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 1 million copies in the United States | Statement: [Tha Carter III, firstWeekSales, over 1 million copies in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWeekSales Context triple: [Tha Carter III, firstWeekSales, over 1 million copies in the United States]
-
A.
debutWeekSalesUS
chosen
Indicates the number of units sold in the United States during the first week after a product’s debut or release.
-
B.
debutAlbumFirstWeekSales
Indicates the number of units sold in the first week after an artist’s debut album is released.
-
C.
firstQuarter
Indicates that an event, state, or condition occurs during the first quarter of a defined time period (such as a year or fiscal year).
-
D.
firstOffered
Indicates that one entity was the earliest or initial provider or proposer of something to another entity or context.
-
E.
firstModelYearSales
Indicates the sales figures associated with the first model year of a product or item.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06881313481908e9082ffe57f29b6 |
completed | March 22, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69c060f25c088190b433f78553ff1d84 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:35 p.m.