Triple
T7964239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The One |
E184956
|
entity |
| Predicate | belongsToArtistDiscographySegment |
P34104
|
FINISHED |
| Object | Taylor Swift studio albums |
—
|
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: Taylor Swift studio albums | Statement: [The One, belongsToArtistDiscographySegment, Taylor Swift studio albums]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToArtistDiscographySegment Context triple: [The One, belongsToArtistDiscographySegment, Taylor Swift studio albums]
-
A.
followsInDiscographyOf
Indicates that one musical release comes after another in the ordered sequence of works within the same artist’s discography.
-
B.
notableArtistInCollection
Indicates that an artist is prominently represented or recognized within a particular collection.
-
C.
subjectRelationToArtist
Indicates the nature of the relationship or connection that the subject has to the artist.
-
D.
hasDiscographyWith
Indicates a relationship where two or more musical entities are associated through a shared or jointly produced discography.
-
E.
hasDiscographyType
chosen
Indicates that an entity’s discography is classified as a specific type (such as studio albums, live albums, compilations, etc.).
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3ba0da588190853dda68bba0755a |
completed | March 31, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69cb0473d7dc8190a25d0cf460b9fcbe |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:12 p.m.