Triple
T321714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | macOS |
E6427
|
entity |
| Predicate | integratesWithHardware |
P1075
|
FINISHED |
| Object | AirPods |
E20624
|
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: AirPods | Statement: [macOS, integratesWithHardware, AirPods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AirPods Context triple: [macOS, integratesWithHardware, AirPods]
-
A.
AirPods
chosen
AirPods are Apple’s wireless Bluetooth earbuds known for their seamless integration with Apple devices, compact charging case, and touch or voice-controlled features.
-
B.
HomePod
HomePod is Apple’s smart speaker that integrates Siri voice control with high-quality audio playback and seamless connectivity to the Apple ecosystem.
-
C.
iPod
The iPod is a line of portable digital media players by Apple that revolutionized how people listen to and purchase music.
-
D.
Apple Watch
The Apple Watch is a smartwatch line that integrates closely with the iPhone to provide fitness tracking, health monitoring, notifications, and app functionality on the wrist.
-
E.
iPhone
The iPhone is Apple's flagship smartphone line that revolutionized mobile technology by combining a touchscreen interface, internet connectivity, and a robust app ecosystem into a single device.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ee016c408190beab4009653524db |
completed | Feb. 28, 2026, 1:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cb006f348190b2e8901eb2ced9f3 |
completed | March 1, 2026, 5:13 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.