Triple
T30451374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aftermath of the Lowdown |
E774718
|
entity |
| Predicate | styleComparedToBonJovi |
P86170
|
FINISHED |
| Object | more personal and introspective |
—
|
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: more personal and introspective | Statement: [Aftermath of the Lowdown, styleComparedToBonJovi, more personal and introspective]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleComparedToBonJovi Context triple: [Aftermath of the Lowdown, styleComparedToBonJovi, more personal and introspective]
-
A.
hasVocalStyleComparedTo
Indicates a comparison between entities based on the similarity or resemblance of their vocal style.
-
B.
isOnBonJoviAlbum
Indicates that something (typically a song or track) appears on a Bon Jovi album as part of its official track listing.
-
C.
styleComparedToAttitudeEra
Indicates how an entity’s style compares or relates to the characteristic style of the Attitude Era.
-
D.
hasMusicalStyleSimilarTo
chosen
Indicates that two entities share a comparable or closely related musical style or sound.
-
E.
genreContrast
Indicates a relationship where two or more works are compared or juxtaposed based on differences between their genres.
- 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_69f22494fb60819095d893de0284f886 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 8:09 p.m.