Triple
T15495643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HomePod mini |
E378809
|
entity |
| Predicate | operatingSystem |
P1593
|
FINISHED |
| Object | audioOS |
E114974
|
NE 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: audioOS | Statement: [HomePod mini, operatingSystem, audioOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: audioOS Context triple: [HomePod mini, operatingSystem, audioOS]
-
A.
audioOS
chosen
audioOS is Apple’s specialized operating system designed to power and manage the features of its HomePod smart speakers.
-
B.
AudioSculpt
AudioSculpt is a sound analysis and processing software developed by IRCAM, widely used for detailed spectral editing and transformation of audio.
-
C.
AudioNet
AudioNet was an early internet radio and streaming media company that helped pioneer online audio broadcasting in the mid-1990s.
-
D.
Sound Archive
The Sound Archive is the British Library’s extensive audio collection, preserving millions of recordings spanning music, spoken word, oral history, and environmental sounds.
-
E.
Versoix
Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faecd60819091eeaa56c9c8f67d |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3662f3388190b75ffe3ce418f36d |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:51 a.m.