Triple
T1935390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidecar |
E41431
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | AirPlay to Mac |
E112737
|
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: AirPlay to Mac | Statement: [Sidecar, relatedTo, AirPlay to Mac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AirPlay to Mac Context triple: [Sidecar, relatedTo, AirPlay to Mac]
-
A.
AirPlay
chosen
AirPlay is Apple's wireless streaming protocol that lets users send audio, video, and screen content from their devices to compatible receivers like speakers and TVs.
-
B.
Apple TV
Apple TV is a digital media player and streaming device by Apple that lets users watch movies, TV shows, and other content from various apps and services on their television.
-
C.
AirPort
AirPort is Apple's brand name for its line of Wi‑Fi networking technology and products used to provide wireless connectivity for its computers and devices.
-
D.
AirDrop
AirDrop is Apple's wireless file-sharing feature that lets users quickly and securely transfer photos, documents, and other data between nearby Apple devices.
-
E.
tvOS
tvOS is Apple’s operating system designed specifically for its Apple TV digital media players, enabling apps, streaming, and interactive entertainment on the television.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb29c7be08190986df157bf5d7c9e |
completed | March 7, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3f3932081909a72d1022259359e |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.