Triple
T23809833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aeroplane (Reprise) |
E589820
|
entity |
| Predicate | hasRecordingQuality |
P91280
|
FINISHED |
| Object | lo-fi aesthetic |
—
|
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: lo-fi aesthetic | Statement: [Aeroplane (Reprise), hasRecordingQuality, lo-fi aesthetic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecordingQuality Context triple: [Aeroplane (Reprise), hasRecordingQuality, lo-fi aesthetic]
-
A.
recordQuality
chosen
Indicates the assessed level or standard of quality associated with a particular record.
-
B.
hasVideoRecording
Indicates that there exists an associated video recording capturing or documenting the referenced entity or event.
-
C.
videoQuality
Indicates the level or standard of clarity, resolution, and overall visual fidelity associated with a given video.
-
D.
supportsAudioQuality
Indicates that one entity provides or is compatible with a specified level or type of audio quality for another entity or context.
-
E.
hasVideoRecordingAvailableOn
Indicates that a video recording of something is accessible or hosted on a specified platform, service, or medium.
- 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_69e25d19fecc8190a5cf39bbb18d5d7f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7549c44819099b9e7eb36747f38 |
completed | April 29, 2026, 8:54 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:56 p.m.