Triple
T27691334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grammy Award for Album of the Year (for "The Music from Peter Gunn") |
E698164
|
entity |
| Predicate | recordingFormatAtTime |
P15615
|
FINISHED |
| Object | mono |
—
|
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: mono | Statement: [Grammy Award for Album of the Year (for "The Music from Peter Gunn"), recordingFormatAtTime, mono]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordingFormatAtTime Context triple: [Grammy Award for Album of the Year (for "The Music from Peter Gunn"), recordingFormatAtTime, mono]
-
A.
liveRecordingFormat
Indicates that the work is a live recording and specifies the format or medium in which that live performance was captured or released.
-
B.
audioFormatFor
Indicates that one entity specifies or provides the audio format used to encode or represent another entity.
-
C.
currentFormatInUseSince
Indicates the point in time since which a particular format has been actively in use.
-
D.
audioFormatSupported
Indicates that a particular audio format is recognized and can be correctly processed or played by a given system or component.
-
E.
recordingType
chosen
Indicates the specific kind or category of recording associated with an entity (e.g., audio, video, live, studio, etc.).
- 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_69ef590df8708190af5488f0638e790c |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 27, 2026, 2:52 p.m.