Triple
T20876405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Got to Get You into My Life |
E514027
|
entity |
| Predicate | singleAorBside |
P142211
|
FINISHED |
| Object | A-side in 1976 US single |
—
|
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 in 1976 US single | Statement: [Got to Get You into My Life, singleAorBside, A-side in 1976 US single]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: singleAorBside Context triple: [Got to Get You into My Life, singleAorBside, A-side in 1976 US single]
-
A.
singleSide
Indicates that the relationship or action involves only one side or participant, without a corresponding or reciprocal counterpart.
-
B.
singleSideOf
Indicates that one entity constitutes a single side or face of another entity, typically within a larger multi-sided structure or object.
-
C.
bSideOfSingleInUS
Indicates that one entity is the B-side track of a single that was released in the United States.
-
D.
singleDoubleAWith
Indicates a relationship where one entity is associated with another through a configuration or interaction involving both a single and a double instance of type A together.
-
E.
onSide
Indicates that one entity is positioned along or adjacent to the side of another entity.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c674f68c8190a7b43aeea5b9b976 |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:45 p.m.