Triple
T31289242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hits/The B-Sides |
E797887
|
entity |
| Predicate | includesBsideTracks |
P202980
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Hits/The B-Sides, includesBsideTracks, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesBsideTracks Context triple: [The Hits/The B-Sides, includesBsideTracks, yes]
-
A.
isBsideTrack
Indicates that one track is the B-side counterpart associated with another primary (A-side) track, typically on a single release.
-
B.
sideAContainsTracksFrom
Indicates that the first entity’s side A includes or features tracks originating from the second entity.
-
C.
containsAdditionalTracksBeyond
Indicates that one entity includes more tracks or items than are present in another referenced set or version.
-
D.
hasBside
Indicates that one item serves as the B-side counterpart or secondary track associated with another primary item, typically in a recording or media release.
-
E.
isTitleTrackOfSide
Indicates that a track serves as the title track for a specific side of a multi-sided release (e.g., side A or side B).
- F. None of above. chosen
Provenance (4 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_69f224dfde288190af313f3c221c857e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00d820a7788190a8d54625cd87be68 |
completed | May 10, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_6a00d7c5b40c8190b80413238d04e81e |
completed | May 10, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_6a00d81fb5d8819096fa5e0771d69221 |
completed | May 10, 2026, 7:10 p.m. |
Created at: April 29, 2026, 9:14 p.m.