Triple

T18396478
Position Surface form Disambiguated ID Type / Status
Subject Baroness Lane-Fox of Soho E449882 entity
Predicate chairpersonOf P377 FINISHED
Object WeTransfer E448360 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: WeTransfer | Statement: [Baroness Lane-Fox of Soho, chairpersonOf, WeTransfer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WeTransfer
Context triple: [Baroness Lane-Fox of Soho, chairpersonOf, WeTransfer]
  • A. WeTransfer chosen
    WeTransfer is a cloud-based file transfer service that enables users to easily send large files over the internet.
  • B. File Gateway
    File Gateway is an AWS Storage Gateway configuration that presents cloud-backed Amazon S3 storage as standard file shares accessible via NFS or SMB protocols.
  • C. Upload
    Upload is a science fiction comedy television series that satirically explores digital afterlife and virtual reality, created by Greg Daniels for Amazon Prime Video.
  • D. easyStorage
    easyStorage is a self-storage and related services brand within the easyGroup family of low-cost consumer businesses.
  • E. Filestore
    Filestore is a managed network file storage service on Google Cloud that provides scalable, high-performance file systems for applications running in the cloud.
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e5184777548190818365ee52ac88b7 completed April 19, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03f0a06d7081908300196891849a74 completed May 13, 2026, 3:31 a.m.
Created at: April 10, 2026, 10:46 a.m.