Triple
T16345397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Is the Wind |
E396915
|
entity |
| Predicate | sideBOpeningTrack |
P55756
|
FINISHED |
| Object | Why Keep on Breaking My Heart |
—
|
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: Why Keep on Breaking My Heart | Statement: [Wild Is the Wind, sideBOpeningTrack, Why Keep on Breaking My Heart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideBOpeningTrack Context triple: [Wild Is the Wind, sideBOpeningTrack, Why Keep on Breaking My Heart]
-
A.
sideTwoOpeningTrack
chosen
Indicates that the related item is the first (opening) track on the second side of a multi-sided audio recording or release.
-
B.
side1Track
Indicates that an entity is associated with or belongs to the first side or track in a two-sided or multi-track configuration.
-
C.
sideThreeTrack
Indicates that an entity is associated with, or corresponds to, the third side (or track) in a multi-sided or multi-track context.
-
D.
sideFourTrack
Indicates that one entity is the fourth side (or segment) associated with a particular track in a multi-sided track configuration.
-
E.
sideOneTrackListOrder
Indicates the ordering or sequence position of tracks on the first side of a multi-sided recording or medium.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da0da1808190b6477613a07c7a88 |
completed | April 18, 2026, 1:10 a.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.