Triple
T23776380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legend (remastered version) |
E587686
|
entity |
| Predicate | audioEnhancement |
P54676
|
FINISHED |
| Object | remastered audio |
—
|
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: remastered audio | Statement: [Legend (remastered version), audioEnhancement, remastered audio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioEnhancement Context triple: [Legend (remastered version), audioEnhancement, remastered audio]
-
A.
audioEffect
Indicates that one entity applies or represents an audio processing effect that modifies the sound characteristics of another entity.
-
B.
audioProcessing
chosen
Indicates that one entity performs operations to analyze, modify, or transform audio data associated with another entity.
-
C.
soundAmplification
Indicates that one entity increases the loudness or intensity of another entity’s sound.
-
D.
noiseReductionFeature
Indicates that an entity includes or supports a capability to reduce or minimize unwanted noise.
-
E.
supportsAudioQuality
Indicates that one entity provides or is compatible with a specified level or type of audio quality for another entity or context.
- 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_69e2490d245881909028226a1393d624 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c46c1ea881908dfdc305e58516db |
completed | April 29, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:16 p.m.