Triple
T2630391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DBX |
E59617
|
entity |
| Predicate | underlyingCompanyProducts |
P3585
|
FINISHED |
| Object | Dropbox Sign |
E59982
|
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: Dropbox Sign | Statement: [DBX, underlyingCompanyProducts, Dropbox Sign]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dropbox Sign Context triple: [DBX, underlyingCompanyProducts, Dropbox Sign]
-
A.
DocuSign
DocuSign is a leading electronic signature and digital transaction management company that enables users to securely sign, send, and manage documents online.
-
B.
HelloSign
chosen
HelloSign is an electronic signature and digital document workflow platform that enables users to sign, send, and manage legally binding documents online.
-
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.
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.
-
E.
Dropbox
Dropbox is a cloud-based file storage and collaboration company known for enabling users to easily sync and share files 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8c567408190b94ff047efa4bc06 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90a7021081909f81c4ddb48fa00c |
completed | March 10, 2026, 3:31 a.m. |
Created at: March 6, 2026, 9:50 p.m.