Triple
T4867013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Want You |
E108994
|
entity |
| Predicate | isPartOfArtistDiscography |
P1995
|
FINISHED |
| Object | Bob Dylan discography |
—
|
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: Bob Dylan discography | Statement: [I Want You, isPartOfArtistDiscography, Bob Dylan discography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfArtistDiscography Context triple: [I Want You, isPartOfArtistDiscography, Bob Dylan discography]
-
A.
hasPartInDiscography
chosen
Indicates that an entity (such as a song, album, or track) is included as a component within another entity’s discography.
-
B.
albumDisc
Indicates that one entity is a specific disc (or disc number) within a multi-disc album represented by the other entity.
-
C.
hasDiscographyType
Indicates that an entity’s discography is classified as a specific type (such as studio albums, live albums, compilations, etc.).
-
D.
studioAlbum
Indicates that the subject is a studio-recorded album created and released by the object (typically an artist or band).
-
E.
musicAlbum
Indicates that there is a relationship where an entity is a music album associated with another entity, such as an artist or release.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d7bb0b88190bbc24498619910fc |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.