Triple
T93285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Jobs |
E1874
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | App Store |
E8266
|
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: App Store | Statement: [Steve Jobs, knownFor, App Store]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: App Store Context triple: [Steve Jobs, knownFor, App Store]
-
A.
iTunes Store
The iTunes Store is Apple’s pioneering digital media marketplace that popularized legal online purchases of music, movies, TV shows, and other content.
-
B.
iOS
chosen
iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
-
C.
Apple Pay
Apple Pay is a mobile payment and digital wallet service by Apple that lets users make secure, contactless payments using their Apple devices.
-
D.
Apple Inc.
Apple Inc. is a multinational technology company best known for designing and selling consumer electronics like the iPhone, Mac, and iPad, along with software and digital services.
-
E.
macOS
macOS is Apple’s proprietary Unix-based operating system known for its graphical user interface, tight integration with Apple hardware and services, and strong emphasis on usability and security.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24fd28e988190bde699647ee5b16b |
completed | Feb. 28, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a266ebb994819085fb84dd1d2d25ad |
completed | Feb. 28, 2026, 3:54 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.