Triple
T524619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songs in A Minor |
E10890
|
entity |
| Predicate | copiesSoldWorldwide |
P10648
|
FINISHED |
| Object | over 12 million |
—
|
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 12 million | Statement: [Songs in A Minor, copiesSoldWorldwide, over 12 million]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copiesSoldWorldwide Context triple: [Songs in A Minor, copiesSoldWorldwide, over 12 million]
-
A.
estimatedCopiesPrinted
Indicates the approximate number of copies of an item that have been printed.
-
B.
usedWorldwide
Indicates that something is utilized or applied across many countries or regions around the world.
-
C.
soldAt
Indicates that a product or item is offered for sale at a particular location, venue, or outlet.
-
D.
firstEditionSoldOutTime
Indicates the point in time at which the first edition of an item became completely sold out.
-
E.
hasSoldOver
chosen
Indicates that one entity has sold a quantity of something exceeding a specified threshold or the amount sold by another entity.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b656c08190b387f21b06d99e68 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f018129c81909494450fcba71b59 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.