Triple
T33198841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One More Angel in Heaven |
E849843
|
entity |
| Predicate | usesMusicalPastichestyle |
P22764
|
FINISHED |
| Object | country-and-western pastiche |
—
|
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: country-and-western pastiche | Statement: [One More Angel in Heaven, usesMusicalPastichestyle, country-and-western pastiche]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMusicalPastichestyle Context triple: [One More Angel in Heaven, usesMusicalPastichestyle, country-and-western pastiche]
-
A.
hasMusicalStyleCharacteristic
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
-
B.
playsInStyleOf
Indicates that one entity performs, creates, or behaves in a manner characteristic of another entity’s style.
-
C.
hasMusicalStyleSimilarTo
Indicates that two entities share a comparable or closely related musical style or sound.
-
D.
hasImprovisationStyle
Indicates that an entity exhibits or is associated with a particular style or manner of improvisation.
-
E.
includesMusicalStyle
chosen
Indicates that one entity encompasses, features, or incorporates a particular musical style as part of its content or character.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 1, 2026, 1:29 a.m.