Triple
T2663211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 13-inch MacBook Pro (M2, 2022) |
E54771
|
entity |
| Predicate | microphones |
P22669
|
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: [13-inch MacBook Pro (M2, 2022), microphones, studio-quality three-mic array]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: microphones Context triple: [13-inch MacBook Pro (M2, 2022), microphones, studio-quality three-mic array]
-
A.
hasMicrophones
chosen
Indicates that one entity possesses, includes, or is equipped with one or more microphones.
-
B.
soundRecordingBy
Indicates that a sound recording was created, performed, or produced by a particular agent (such as an artist, band, or producer).
-
C.
soundReproductionMethod
Indicates the method or technique used to reproduce or play back sound.
-
D.
audioPorts
Indicates that one entity provides or is equipped with audio input/output ports that can be used or connected by the other entity.
-
E.
audioChip
Indicates that one entity functions as, or contains, an audio processing chip in relation to another entity.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd96b9f1c8190a8a9460ca88a9aaf |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd81768748190bd965f367cf6ef37 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.