Triple

T4613170
Position Surface form Disambiguated ID Type / Status
Subject Roger Federer E100804 entity
Predicate sponsor P67 FINISHED
Object Credit Suisse E112237 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: Credit Suisse | Statement: [Roger Federer, sponsor, Credit Suisse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Credit Suisse
Context triple: [Roger Federer, sponsor, Credit Suisse]
  • A. Credit Suisse chosen
    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.
  • B. Deutsche Bank
    Deutsche Bank is a major global investment bank and financial services company headquartered in Frankfurt, Germany.
  • C. UBS
    UBS is a global network of national Bible societies dedicated to translating, publishing, and distributing the Bible worldwide.
  • D. UBS
    UBS is a multinational Swiss financial services company known primarily for its global wealth management, investment banking, and asset management operations.
  • E. Goldman Sachs
    Goldman Sachs is a leading global investment banking, securities, and asset management firm headquartered in New York City.
  • 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59c11f5481909f61e23503711cf5 completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa895b7481909e54cfa56a54c8dc completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:12 p.m.