Triple
T7934389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keynote |
E184252
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Apple Photos |
E215108
|
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 Photos | Statement: [Keynote, integratesWith, Apple Photos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple Photos Context triple: [Keynote, integratesWith, Apple Photos]
-
A.
iPhoto
chosen
iPhoto was Apple's former consumer photo management and basic editing application for macOS and iOS, later succeeded by the Photos app.
-
B.
iCloud
iCloud is Apple’s cloud storage and synchronization service that securely backs up and keeps users’ photos, files, and data up to date across their Apple devices.
-
C.
Amazon Photos
Amazon Photos is a cloud-based photo and video storage service from Amazon that lets users securely back up, organize, and access their media across devices.
-
D.
Google Photos
Google Photos is a cloud-based photo and video storage and management service that offers automatic backup, organization, sharing, and powerful search features using Google’s AI.
-
E.
iTunes
iTunes is Apple’s media management and playback software that also served as the primary hub for purchasing and organizing digital music, movies, and other content.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aeb132c8190bea4906aaf51b869 |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c0791e48190af18299c22f6a804 |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:08 p.m.