Triple
T999792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tangled Up in Blue |
E21576
|
entity |
| Predicate | associatedWithAlbumEra |
P2152
|
FINISHED |
| Object | Blood on the Tracks era |
—
|
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: Blood on the Tracks era | Statement: [Tangled Up in Blue, associatedWithAlbumEra, Blood on the Tracks era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAlbumEra Context triple: [Tangled Up in Blue, associatedWithAlbumEra, Blood on the Tracks era]
-
A.
notableEra
Indicates the historical period or era for which an entity is especially recognized or significant.
-
B.
associatedMusic
chosen
Indicates a relationship where one entity is linked to or connected with a piece of music, such as being used by, related to, or thematically tied to that music.
-
C.
endedEra
Indicates that one entity brought about or marked the conclusion of a particular era associated with another entity.
-
D.
influencedArtist
Indicates that one artist has had a significant impact on the style, work, or development of another artist.
-
E.
notableArtistInCollection
Indicates that an artist is prominently represented or recognized within a particular collection.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4e3d8b081908e536928e7d6199d |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b057c48190b9e42df9246b3757 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.