Triple
T31170461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ful Stop |
E794588
|
entity |
| Predicate | hasBasslineCharacteristic |
P185223
|
FINISHED |
| Object | repetitive |
—
|
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: repetitive | Statement: [Ful Stop, hasBasslineCharacteristic, repetitive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBasslineCharacteristic Context triple: [Ful Stop, hasBasslineCharacteristic, repetitive]
-
A.
hasBasslineBy
Indicates a relationship where a musical work has its bassline created, performed, or composed by a specific artist or entity.
-
B.
hasNotableBassline
Indicates that something (typically a piece of music) features a bassline that is particularly prominent, distinctive, or otherwise noteworthy.
-
C.
featuresBasslineFrom
Indicates that a musical work incorporates or uses the bassline from another musical work.
-
D.
hasBassIntroBy
Indicates a relationship where a musical piece features an introductory section performed or led by a bass instrument or bass player.
-
E.
hasBassRole
Indicates that an entity fulfills or is assigned the bass role within a musical or hierarchical context.
- F. None of above. chosen
Provenance (4 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_69f224d5b9708190b6ca79ad2fd3a28a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bbf812cc8190a16917c5daaff2df |
completed | May 3, 2026, 9:19 p.m. |
Created at: April 29, 2026, 9:07 p.m.