Triple
T12373008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aaron Levie |
E295049
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Box |
E59983
|
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: Box | Statement: [Aaron Levie, employer, Box]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Box Context triple: [Aaron Levie, employer, Box]
-
A.
Box
chosen
Box is a cloud content management and file-sharing service for businesses, known for its collaboration tools and enterprise-focused security features.
-
B.
Box
Box is a village in Wiltshire, England, known for its historic quarrying industry and its location near the western portal of the Box Tunnel on the Great Western Main Line.
-
C.
Posta
Posta is a popular Turkish daily newspaper known for its mass-market appeal and wide circulation.
-
D.
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.
-
E.
Mail
Mail is Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa7c9ec81908c685612994543e3 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c648b948190bfc6032cf8fdd7d5 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 8, 2026, 9:54 p.m.