Triple
T11960220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orchestra, Inc. |
E284648
|
entity |
| Predicate | acquiredBy |
P347
|
FINISHED |
| Object | Dropbox, Inc. |
E9104
|
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, Inc. | Statement: [Orchestra, Inc., acquiredBy, Dropbox, Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dropbox, Inc. Context triple: [Orchestra, Inc., acquiredBy, Dropbox, Inc.]
-
A.
Dropbox
Dropbox is an American hard rock band known for their melodic yet heavy sound and for their connections to the post-grunge and alternative metal scenes of the early 2000s.
-
B.
Dropbox
chosen
Dropbox is a cloud-based file storage and collaboration company known for enabling users to easily sync and share files across devices.
-
C.
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.
-
D.
Automattic
Automattic is a web development and publishing company best known for owning and operating WordPress.com and several other major online platforms and tools.
-
E.
Zoho Corporation
Zoho Corporation is an Indian software company best known for its wide suite of cloud-based business applications, including CRM, productivity, and collaboration tools for organizations of all sizes.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9036941948190b150369094551731 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471d625c88190baed4ea08853988a |
completed | May 1, 2026, 9:26 a.m. |
Created at: April 8, 2026, 9:45 p.m.