Triple
T8861100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacBook Pro (16-inch, 2021) |
E210887
|
entity |
| Predicate | microphoneQuality |
P28700
|
FINISHED |
| Object | studio-quality three-mic array |
—
|
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: studio-quality three-mic array | Statement: [MacBook Pro (16-inch, 2021), microphoneQuality, studio-quality three-mic array]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: microphoneQuality Context triple: [MacBook Pro (16-inch, 2021), microphoneQuality, studio-quality three-mic array]
-
A.
supportsAudioQuality
chosen
Indicates that one entity provides or is compatible with a specified level or type of audio quality for another entity or context.
-
B.
hasMicrophones
Indicates that one entity possesses, includes, or is equipped with one or more microphones.
-
C.
hasSpeechLevels
Indicates that a language, dialect, or communicative system distinguishes different levels or styles of speech used according to social context, formality, or relative status between speakers.
-
D.
usesEchoCancellation
Indicates that an entity employs echo cancellation techniques to reduce or eliminate echo in audio communication.
-
E.
audioStandard
Indicates the audio format or specification standard that applies to the associated media or device.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e860888190a8a8702377db949e |
completed | April 1, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69cc5c279ea481908c71756f694b66bf |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:50 p.m.