Triple
T6572540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Udo Jürgens |
E155475
|
entity |
| Predicate | numberOfAlbumsSold |
P42069
|
FINISHED |
| Object | over 100 million records worldwide |
—
|
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 100 million records worldwide | Statement: [Udo Jürgens, numberOfAlbumsSold, over 100 million records worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAlbumsSold Context triple: [Udo Jürgens, numberOfAlbumsSold, over 100 million records worldwide]
-
A.
hasAlbumSales
chosen
Indicates that an entity (typically an album or artist) is associated with a specific quantity or record of album sales.
-
B.
soldCopies
Indicates that a certain number of copies of an item were sold by a seller (or in a context) to buyers.
-
C.
mostCommerciallySuccessfulAlbum
Indicates the album that has achieved the highest level of commercial success (e.g., sales, revenue, or chart performance) for a given artist or within a specified context.
-
D.
albumLength
Indicates the total duration or running time associated with an album.
-
E.
numberInArtistStudioAlbums
Indicates the count of studio albums an artist has released or is associated with.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acf93cb48190b54f5dd6febd34dc |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:53 p.m.