Triple
T29780804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nostalgia, Ultra |
E755507
|
entity |
| Predicate | sampleUsage |
P167872
|
FINISHED |
| Object | Coldplay – Strawberry Swing |
—
|
NE NERFINISHED |
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: Coldplay – Strawberry Swing | Statement: [Nostalgia, Ultra, sampleUsage, Coldplay – Strawberry Swing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sampleUsage Context triple: [Nostalgia, Ultra, sampleUsage, Coldplay – Strawberry Swing]
-
A.
toolUseExamples
Indicates that one entity provides example instances or demonstrations of how a particular tool is or can be used by another entity.
-
B.
usageType
Indicates the specific manner, purpose, or context in which something is used or intended to be used.
-
C.
usagePattern
Indicates how something is typically used or the recurring manner in which it is employed or consumed.
-
D.
programUse
Indicates that one entity uses, employs, or makes use of a particular program or software application.
-
E.
sampleType
Indicates the classification or category of a sample in relation to a broader set of samples or experimental conditions.
- 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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f674a6405c81908d9d4ebaf690e975 |
completed | May 2, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 28, 2026, 8:50 p.m.