Triple
T16879299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebel Without a Pause |
E421375
|
entity |
| Predicate | hasSignatureSoundElement |
P19774
|
FINISHED |
| Object | sustained saxophone squeal sample |
—
|
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: sustained saxophone squeal sample | Statement: [Rebel Without a Pause, hasSignatureSoundElement, sustained saxophone squeal sample]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignatureSoundElement Context triple: [Rebel Without a Pause, hasSignatureSoundElement, sustained saxophone squeal sample]
-
A.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
B.
signatureSound
chosen
Indicates that something has a distinctive, characteristic sound that uniquely identifies it.
-
C.
containsSound
Indicates that one entity includes, embodies, or produces the sound associated with another entity.
-
D.
hasSoundSystem
Indicates that an entity is equipped with or includes a sound system as one of its features.
-
E.
hasSoundEngineType
Indicates a relationship where an entity is associated with or characterized by a specific type of sound engine.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f9aea0819090aef3c0c1ad349d |
completed | April 18, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.