Triple
T7088666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whispersync |
E165137
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Audible |
E31207
|
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: Audible | Statement: [Whispersync, relatedTo, Audible]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audible Context triple: [Whispersync, relatedTo, Audible]
-
A.
Audible
chosen
Audible is a leading audiobook and spoken-word entertainment platform that offers a vast library of audio content through digital downloads and streaming.
-
B.
Amazon Music
Amazon Music is a music streaming and digital storefront service offering on-demand songs, playlists, and podcasts across multiple devices.
-
C.
Rdio
Rdio was an online music streaming service known for its sleek design and social features, founded by Skype co-founder Janus Friis and launched in 2010.
-
D.
Google Play Books
Google Play Books is a digital distribution service and e-book/audiobook reader platform from Google that lets users purchase, download, and read or listen to books across devices.
-
E.
The Audible Doctor
The Audible Doctor is an American hip-hop producer and rapper known for his soulful, sample-based beats and work with artists across the underground rap scene.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e52d26f08190917e5e13b181bdae |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c794888abc8190ada2ae826449745a |
completed | March 28, 2026, 8:42 a.m. |
Created at: March 27, 2026, 2:41 p.m.