Triple
T20331706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonos Arc |
E492498
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object | Trueplay tuning |
—
|
NE NERFINISHED |
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: Trueplay tuning | Statement: [Sonos Arc, hasFeature, Trueplay tuning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trueplay tuning Context triple: [Sonos Arc, hasFeature, Trueplay tuning]
-
A.
Trueplay tuning
chosen
Trueplay tuning is Sonos’s room-calibration technology that optimizes a speaker’s sound output based on the acoustics of its specific listening environment.
-
B.
In Tune
In Tune is a long-running BBC Radio 3 magazine programme featuring live classical music performances, interviews with musicians, and arts news.
-
C.
The Tune-Up
The Tune-Up is a podcast cohosted by musician and radio personality Benny Horowitz, featuring conversations that blend music, culture, and personal storytelling.
-
D.
Tunechi
Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
-
E.
Getting in Tune
"Getting in Tune" is a song by the Who, written by Pete Townshend and featured on their acclaimed 1971 rock album "Who's Next."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e7baf481909282293d78597634 |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:22 a.m.