Triple

T12282100
Position Surface form Disambiguated ID Type / Status
Subject Chief Executive Officer of Dropbox E292738 entity
Predicate employer P7 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: [Chief Executive Officer of Dropbox, employer, Dropbox, Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dropbox, Inc.
Context triple: [Chief Executive Officer of Dropbox, employer, 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf2b09c81908a11581d33f65be0 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63eec11688190a317f9e692b23ca5 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:52 p.m.