Triple
T1634366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Docs |
E35329
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Writely |
E35329
|
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: Writely | Statement: [Google Docs, formerName, Writely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Writely Context triple: [Google Docs, formerName, Writely]
-
A.
Google Docs
chosen
Google Docs is a cloud-based word processing application by Google that allows users to create, edit, and collaborate on documents in real time through a web browser or mobile app.
-
B.
Dropbox Paper
Dropbox Paper is a collaborative online document-editing and note-taking tool that lets teams create, share, and work together on content in real time.
-
C.
Adobe Document Cloud
Adobe Document Cloud is Adobe’s integrated suite of cloud-based services and apps for creating, editing, managing, and securely sharing PDF documents across devices.
-
D.
Evernote
Evernote is a cross-platform note-taking and organization application that lets users capture, sync, and manage text, images, and other content across devices.
-
E.
OneNote
OneNote is Microsoft's digital note-taking application that lets users capture, organize, and sync notes, drawings, and multimedia content across devices.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a1679408190a9faa7b22c388c4b |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58d9db5c819081408977834ad606 |
completed | March 8, 2026, 11:09 a.m. |
Created at: March 4, 2026, 7:28 p.m.