Triple
T3777142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Kardashian: Hollywood |
E83333
|
entity |
| Predicate | distribution |
P1356
|
FINISHED |
| Object | App Store |
E20626
|
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: [Kim Kardashian: Hollywood, distribution, App Store]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: App Store Context triple: [Kim Kardashian: Hollywood, distribution, App Store]
-
A.
App Store
chosen
The App Store is Apple’s official digital marketplace for discovering, purchasing, and downloading apps and games on iOS, iPadOS, macOS, watchOS, and tvOS devices.
-
B.
Apple Store
Apple Store is Apple Inc.’s official retail and online chain that sells its hardware devices, software, and services while providing product support and technical assistance.
-
C.
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.
-
D.
Amazon Appstore
Amazon Appstore is a digital distribution platform for mobile apps and games, primarily for Android devices and Amazon’s Fire tablets.
-
E.
App Store Connect
App Store Connect is Apple’s web-based portal for developers to manage their apps, metadata, TestFlight builds, and App Store submissions and analytics.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc5d3dbc8190b6ab118a56acd5a3 |
completed | March 8, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e534a02c8190b8dd76ed965f393f |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:36 p.m.