Triple
T3170129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lover |
E66308
|
entity |
| Predicate | basedOnMusicalStyle |
P33180
|
FINISHED |
| Object | American popular music |
—
|
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: American popular music | Statement: [Lover, basedOnMusicalStyle, American popular music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnMusicalStyle Context triple: [Lover, basedOnMusicalStyle, American popular music]
-
A.
styleOfMusic
chosen
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
B.
includesMusicalStyle
Indicates that one entity encompasses, features, or incorporates a particular musical style as part of its content or character.
-
C.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
D.
hasSongStyle
Indicates that an entity possesses, is characterized by, or is associated with a particular style or genre of song.
-
E.
musicalMode
Indicates the specific tonal framework or scale system (mode) in which a piece of music or musical passage is organized.
- 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada64917e08190bf0466d2c5e43790 |
completed | March 8, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0076b4819094628f1ad10b8f68 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.