Triple
T35276041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Break from Toronto |
E1018805
|
entity |
| Predicate | hasHeavyBass |
P146359
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Break from Toronto, hasHeavyBass, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeavyBass Context triple: [Break from Toronto, hasHeavyBass, true]
-
A.
hasBassHeavyProduction
chosen
Indicates that the music’s production emphasizes low-frequency sounds, giving it a strong, prominent bass presence.
-
B.
hasBasslineCharacteristic
Indicates that something possesses a specific quality, style, or feature related to its bassline.
-
C.
hasBassRole
Indicates that an entity fulfills or is assigned the bass role within a musical or hierarchical context.
-
D.
hasBassIntroBy
Indicates a relationship where a musical piece features an introductory section performed or led by a bass instrument or bass player.
-
E.
hasHeavierSoundThan
Indicates that one entity produces or is associated with a sound that is sonically heavier, more intense, or more forceful than that of another entity.
- 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_69f76de5c4788190896ad598ae7d6bc6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
Created at: May 3, 2026, 4:02 p.m.