Triple

T3739434
Position Surface form Disambiguated ID Type / Status
Subject Rajeev Misra E79662 entity
Predicate previousEmployer P1910 FINISHED
Object Deutsche Bank E373967 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: Deutsche Bank | Statement: [Rajeev Misra, previousEmployer, Deutsche Bank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deutsche Bank
Context triple: [Rajeev Misra, previousEmployer, Deutsche Bank]
  • A. Deutsche Bank chosen
    Deutsche Bank is a major global investment bank and financial services company headquartered in Frankfurt, Germany.
  • B. Citigroup
    Citigroup is a major American multinational investment bank and financial services corporation headquartered in New York City.
  • C. Bank of America
    Bank of America is one of the largest multinational banking and financial services corporations in the United States, offering a wide range of consumer, corporate, and investment banking products globally.
  • D. JPMorgan Chase
    JPMorgan Chase is a leading American multinational financial services firm and one of the largest banking institutions in the world, offering investment banking, commercial banking, asset management, and other financial services.
  • E. Danske Bank
    Danske Bank is a major Nordic financial institution headquartered in Copenhagen, Denmark, offering a wide range of banking and financial services across Northern Europe.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb404b908190b6b4ee583dee3cc9 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db23ff3c81908d19295a7ce4a39c completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:34 p.m.