Triple
T16003241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodnight Gotham |
E388145
|
entity |
| Predicate | hasAlbumSequenceType |
P64788
|
FINISHED |
| Object | bonus track |
—
|
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: bonus track | Statement: [Goodnight Gotham, hasAlbumSequenceType, bonus track]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlbumSequenceType Context triple: [Goodnight Gotham, hasAlbumSequenceType, bonus track]
-
A.
hasAlbumSequenceContext
chosen
Indicates that an album is associated with a particular position or contextual role within a sequence of albums.
-
B.
albumSequence
Indicates that one album directly follows another in a defined ordered sequence, such as a discography or series.
-
C.
hasAlbumVersion
Indicates that one entity is an album-specific version or variant of another entity (such as a track, recording, or work).
-
D.
hasMixtapeSequenceContext
Indicates that there is contextual information defining the order or sequencing of tracks or items within a mixtape.
-
E.
hasAssociatedAlbum
Indicates that an entity is linked to a specific album with which it is related or connected.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.