Triple
T13524742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asleep at the Wheel |
E322988
|
entity |
| Predicate | notableAlbumTheme |
P83227
|
FINISHED |
| Object | tributes to Bob Wills |
—
|
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: tributes to Bob Wills | Statement: [Asleep at the Wheel, notableAlbumTheme, tributes to Bob Wills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAlbumTheme Context triple: [Asleep at the Wheel, notableAlbumTheme, tributes to Bob Wills]
-
A.
albumTheme
chosen
Indicates that one entity is the central subject, concept, or motif that thematically unifies the other entity, which is an album.
-
B.
hasThemeSong
Indicates that an entity is associated with or characterized by a particular theme song.
-
C.
isSoundtrackOf
Indicates that a piece of music or collection of music serves as the soundtrack for a particular work, such as a film, game, or show.
-
D.
musicAlbum
Indicates that there is a relationship where an entity is a music album associated with another entity, such as an artist or release.
-
E.
notableAlbumContribution
Indicates that an entity made a significant creative or performance contribution to a particular music album.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa6ad60819087824e4ac83934ed |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.