Triple

T11960164
Position Surface form Disambiguated ID Type / Status
Subject Chief Technology Officer of Dropbox E284647 entity
Predicate employer P7 FINISHED
Object Dropbox 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 | Statement: [Chief Technology Officer of Dropbox, employer, Dropbox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dropbox
Context triple: [Chief Technology Officer of Dropbox, employer, Dropbox]
  • A. Dropbox chosen
    Dropbox is a cloud-based file storage and collaboration company known for enabling users to easily sync and share files across devices.
  • B. 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.
  • 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. Google Drive
    Google Drive is a cloud-based file storage and synchronization service by Google that lets users store, share, and access files from any internet-connected device.
  • E. Zoho WorkDrive
    Zoho WorkDrive is a cloud-based file storage, collaboration, and team content management platform offered by Zoho.
  • 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_69f4592fa9a48190a0450e3d0c57c4d3 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.