Triple

T19659524
Position Surface form Disambiguated ID Type / Status
Subject William Vereker E472042 entity
Predicate employer P7 FINISHED
Object UBS NE NERFINISHED

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: UBS | Statement: [William Vereker, employer, UBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UBS
Context triple: [William Vereker, employer, UBS]
  • A. UBS
    UBS is a global network of national Bible societies dedicated to translating, publishing, and distributing the Bible worldwide.
  • B. UBS chosen
    UBS is a multinational Swiss financial services company known primarily for its global wealth management, investment banking, and asset management operations.
  • C. Credit Suisse
    Credit Suisse is a major global investment bank and financial services firm headquartered in Switzerland, known for its wealth management, investment banking, and asset management operations.
  • D. Swiss Bank Corporation
    Swiss Bank Corporation was a major Swiss financial institution and investment bank that became part of UBS following a landmark merger in the late 1990s.
  • E. Deutsche Bank
    Deutsche Bank is a major global investment bank and financial services company headquartered in Frankfurt, Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6414993ac8190b6da3702b1924b24 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:45 p.m.