Triple
T13355503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Inc. |
E318680
|
entity |
| Predicate | service |
P4690
|
FINISHED |
| Object | Apple News+ |
E20630
|
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: Apple News+ | Statement: [Apple Inc., service, Apple News+]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple News+ Context triple: [Apple Inc., service, Apple News+]
-
A.
Apple News+
chosen
Apple News+ is a subscription-based digital news and magazine service from Apple that offers access to hundreds of newspapers, magazines, and premium articles within the Apple News app.
-
B.
Apple News app
The Apple News app is a news aggregation application by Apple that curates articles and stories from various publishers into a personalized, magazine-style reading experience on Apple devices.
-
C.
Flipboard
Flipboard is a personalized news and content aggregation app that presents articles, videos, and social media updates in a magazine-style layout for mobile and web users.
-
D.
Feedly
Feedly is a popular web-based RSS and news aggregator that gained prominence as a primary alternative after the shutdown of Google Reader.
-
E.
Apple TV+
Apple TV+ is Apple’s subscription-based streaming platform offering original TV series, films, and documentaries across its devices and the web.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99f1ef94c81909a59b7c3f77d3335 |
completed | April 11, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f4bdfdc819094d3945280ed8d30 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:32 p.m.