Triple
T18149160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Jacket Required |
E434460
|
entity |
| Predicate | numberOfStudioAlbumForArtist |
P27806
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [No Jacket Required, numberOfStudioAlbumForArtist, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStudioAlbumForArtist Context triple: [No Jacket Required, numberOfStudioAlbumForArtist, 3]
-
A.
numberInArtistStudioAlbums
chosen
Indicates the count of studio albums an artist has released or is associated with.
-
B.
hasStudioAlbum
Indicates that an entity (typically an artist) is associated with or has released a particular studio album.
-
C.
albumLength
Indicates the total duration or running time associated with an album.
-
D.
hasStudioAlbumSequence
Indicates the ordered sequence in which a subject’s studio albums are released or arranged relative to one another.
-
E.
studioAlbum
Indicates that the subject is a studio-recorded album created and released by the object (typically an artist or band).
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de372e8081908b52fe33c870716e |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.