Triple
T1936087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Photos |
E41445
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Mail on macOS |
E41444
|
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: Mail on macOS | Statement: [Photos, integratesWith, Mail on macOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mail on macOS Context triple: [Photos, integratesWith, Mail on macOS]
-
A.
NeXT Mail
NeXT Mail was an innovative early email and multimedia messaging application for the NeXTSTEP operating system, notable for pioneering features like integrated rich text and audio attachments.
-
B.
Mail
chosen
Mail is Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
-
C.
Mailbox
Mailbox was a popular mobile email management app known for its innovative swipe-based interface and focus on inbox organization, later acquired by Dropbox.
-
D.
Media Mail
Media Mail is a discounted U.S. Postal Service shipping option specifically for sending educational materials and media such as books, sound recordings, and DVDs.
-
E.
Mailer
Mailer is a surname most notably associated with American novelist, journalist, and essayist Norman Mailer.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2c5f6e481909b2d95861e2098f9 |
completed | March 7, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3f3932081909a72d1022259359e |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.