Triple
T29653199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Another Travelin’ Song |
E750194
|
entity |
| Predicate | hasMusicalStyleDescriptor |
P33180
|
FINISHED |
| Object | alt-country/folk-rock track |
—
|
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: alt-country/folk-rock track | Statement: [Another Travelin’ Song, hasMusicalStyleDescriptor, alt-country/folk-rock track]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalStyleDescriptor Context triple: [Another Travelin’ Song, hasMusicalStyleDescriptor, alt-country/folk-rock track]
-
A.
hasMusicalStyleCharacteristic
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
-
B.
styleOfMusic
chosen
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
C.
includesMusicalStyle
Indicates that one entity encompasses, features, or incorporates a particular musical style as part of its content or character.
-
D.
hasMusicalStyleSimilarTo
Indicates that two entities share a comparable or closely related musical style or sound.
-
E.
hasSongStyle
Indicates that an entity possesses, is characterized by, or is associated with a particular style or genre of song.
- 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_69f0d6226fe881908819197c9ef9ee04 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: April 28, 2026, 6:53 p.m.