Triple
T28910686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel (song) |
E733216
|
entity |
| Predicate | hasSampleFrom |
P121488
|
FINISHED |
| Object | Angel of the Morning (song) |
—
|
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: Angel of the Morning (song) | Statement: [Angel (song), hasSampleFrom, Angel of the Morning (song)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSampleFrom Context triple: [Angel (song), hasSampleFrom, Angel of the Morning (song)]
-
A.
hasBeenSampledIn
Indicates that an entity has been selected or taken as a sample within a specified context, location, or dataset.
-
B.
hasSampling
chosen
Indicates that one entity performs, involves, or is associated with the act or process of sampling in relation to another entity.
-
C.
hasBackgroundSample
Indicates that an entity is associated with or linked to a corresponding background sample used for comparison or reference.
-
D.
hasSamplingOption
Indicates that an entity is associated with a specific method or configuration for selecting a subset (sample) from a larger set of data or items.
-
E.
usesSamplingOf
Indicates that one entity employs or relies on a sample or subset derived from another entity for its operation, analysis, or processing.
- 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 28, 2026, 8:11 a.m.