Triple
T35238525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steppin Up |
E1017443
|
entity |
| Predicate | usesIndustrialSounds |
P182648
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Steppin Up, usesIndustrialSounds, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesIndustrialSounds Context triple: [Steppin Up, usesIndustrialSounds, yes]
-
A.
soundEffects
Indicates that one entity produces, contains, or is associated with sound effects used to accompany or enhance another entity.
-
B.
usesSound
Indicates that one entity employs or relies on sound as a means or tool in relation to another entity or context.
-
C.
soundCategory
Indicates the classification relationship where a sound is assigned to a particular category or type of sound.
-
D.
hasAcousticUse
Indicates that something is used or functions in relation to sound or acoustics.
-
E.
noiseSource
Indicates that one entity is the origin or producer of a particular noise affecting another entity or the environment.
- 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.