Triple
T11499283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 15 Plus |
E272620
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | MagSafe |
E234526
|
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: MagSafe | Statement: [iPhone 15 Plus, supports, MagSafe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MagSafe Context triple: [iPhone 15 Plus, supports, MagSafe]
-
A.
MagSafe power connector
chosen
The MagSafe power connector is a magnetic charging interface developed by Apple that allows MacBook power cables to attach securely yet detach easily to prevent damage if pulled.
-
B.
Mophie
Mophie is a consumer electronics brand best known for its portable chargers and battery cases for smartphones and other mobile devices.
-
C.
Charger
Charger is the NATO reporting name for the Soviet-era Tupolev Tu-144, one of the world’s first supersonic passenger airliners.
-
D.
Magnetes
Magnetes were an ancient Greek tribe from the region of Magnesia in Thessaly, known from myth and history as participants in wider Hellenic religious and political affairs.
-
E.
Powerbeats Pro
Powerbeats Pro are wireless, sweat-resistant in-ear headphones designed for active use, offering secure ear hooks, long battery life, and seamless integration with Apple devices.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de27db081909ccdb4ab0ef75bdb |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e604aa9e3c8190ad86e4d05a67c8ac |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 8, 2026, 9:36 p.m.