Triple

T2735701
Position Surface form Disambiguated ID Type / Status
Subject Prince Friso of Orange-Nassau E60624 entity
Predicate workedFor P1910 FINISHED
Object UBS E183005 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: UBS | Statement: [Prince Friso of Orange-Nassau, workedFor, UBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UBS
Context triple: [Prince Friso of Orange-Nassau, workedFor, UBS]
  • A. UBS chosen
    UBS is a multinational Swiss financial services company known primarily for its global wealth management, investment banking, and asset management operations.
  • B. 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.
  • C. Schwab
    Schwab is a German-language surname borne by numerous notable individuals in fields such as business, academia, and the arts.
  • D. Goldman Sachs
    Goldman Sachs is a leading global investment banking, securities, and asset management firm headquartered in New York City.
  • E. UBS GNT
    UBS GNT is a critical edition of the Greek New Testament produced by the United Bible Societies and widely used in biblical scholarship and Bible translation.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb1022488190af84e536946b2e37 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6a37fdc8190bcdb33d7352d9e16 completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:56 p.m.