Triple
T28275902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Get Excited (You Get Excited Too) |
E712987
|
entity |
| Predicate | hasBsideRelationshipTo |
P15273
|
FINISHED |
| Object | a-side single by Pet Shop Boys |
—
|
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: a-side single by Pet Shop Boys | Statement: [I Get Excited (You Get Excited Too), hasBsideRelationshipTo, a-side single by Pet Shop Boys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBsideRelationshipTo Context triple: [I Get Excited (You Get Excited Too), hasBsideRelationshipTo, a-side single by Pet Shop Boys]
-
A.
hasBside
chosen
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.
-
B.
hasNeighborRelationshipWith
Indicates that one entity is located adjacent to or directly next to another entity, sharing a neighbor relationship.
-
C.
hasRelation
Indicates that there exists some specified relationship or association between two entities.
-
D.
hasBorderRelation
Indicates that one entity shares a boundary or border with another entity.
-
E.
hasRelationships
Indicates that an entity is connected to one or more other entities through specified types of relationships.
- 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_69efb52275788190ae5181ccebef18ce |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6444c22bc81908afd945d61e4c977 |
completed | May 2, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:20 p.m.