Triple
T30468500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love on the Wrong Side of Town |
E775221
|
entity |
| Predicate | performedInStyleOf |
P121907
|
FINISHED |
| Object | Jersey Shore sound |
—
|
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: Jersey Shore sound | Statement: [Love on the Wrong Side of Town, performedInStyleOf, Jersey Shore sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedInStyleOf Context triple: [Love on the Wrong Side of Town, performedInStyleOf, Jersey Shore sound]
-
A.
playsInStyleOf
Indicates that one entity performs, creates, or behaves in a manner characteristic of another entity’s style.
-
B.
inTheStyleOf
chosen
Indicates that one entity is created, performed, or presented in a manner that imitates or closely resembles the characteristic style of another entity.
-
C.
hasMusicalStyleSimilarTo
Indicates that two entities share a comparable or closely related musical style or sound.
-
D.
performanceStyle
Indicates the manner or style in which an action, work, or performance is carried out or presented.
-
E.
hasMusicalStyleCharacteristic
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
- 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_69f2249622a48190b1fae2e3e4ee958a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: April 29, 2026, 8:11 p.m.