Triple
T14453300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duo |
E358390
|
entity |
| Predicate | integration |
P1075
|
FINISHED |
| Object | Google Contacts |
E13765
|
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: Google Contacts | Statement: [Duo, integration, Google Contacts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Google Contacts Context triple: [Duo, integration, Google Contacts]
-
A.
Google Contacts
chosen
Google Contacts is a contact management service by Google that stores and syncs users’ personal and professional contact information across Google’s apps and devices.
-
B.
Naver Contacts
Naver Contacts is Naver’s cloud-based address book service that manages and syncs users’ contact information across Naver’s apps and devices.
-
C.
Outlook Contacts
Outlook Contacts is the address book component of Microsoft Outlook that stores and manages personal and professional contact information for use across email, calendar, and other Outlook features.
-
D.
GNOME Contacts
GNOME Contacts is a simple, integrated address book application for the GNOME desktop environment that lets users manage and organize their personal and professional contacts.
-
E.
Contacts app
The Contacts app is a built-in address book application on Apple devices that stores and manages users’ personal and business contact information.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a8bf088190abf5fd4f646b8c62 |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648f56608190b6d55c592c088575 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.