Triple
T3426778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nest Audio |
E72245
|
entity |
| Predicate | supportsService |
P203
|
FINISHED |
| Object | TuneIn |
E165146
|
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: TuneIn | Statement: [Nest Audio, supportsService, TuneIn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TuneIn Context triple: [Nest Audio, supportsService, TuneIn]
-
A.
TuneIn
chosen
TuneIn is a streaming service that provides live radio, music, news, sports, and podcasts from stations and creators around the world across multiple devices and platforms.
-
B.
NPR One
NPR One is a personalized, digital listening app and platform from NPR that curates public radio news, stories, and podcasts for on-demand streaming.
-
C.
AP Radio
AP Radio is the radio news network of the Associated Press, providing audio news reports and bulletins to broadcast stations.
-
D.
iHeartRadio
iHeartRadio is a free broadcast and internet radio platform that offers live radio stations, music playlists, and podcasts across the United States and beyond.
-
E.
Radio
"Radio" is a pop-R&B song by Beyoncé from her album *I Am... Sasha Fierce*, celebrating the personal and emotional impact of listening to music on the radio.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb982792c8190b1163eee4252210f |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35478448481908e1c0f717d99f992 |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.