Triple

T19444513
Position Surface form Disambiguated ID Type / Status
Subject Maximilian Bittner E486436 entity
Predicate hasWorkedFor P11675 FINISHED
Object Morgan Stanley 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: Morgan Stanley | Statement: [Maximilian Bittner, hasWorkedFor, Morgan Stanley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morgan Stanley
Context triple: [Maximilian Bittner, hasWorkedFor, Morgan Stanley]
  • A. Morgan Stanley chosen
    Morgan Stanley is a leading global financial services firm known for its investment banking, securities, wealth management, and investment management services.
  • B. Goldman Sachs
    Goldman Sachs is a leading global investment banking, securities, and asset management firm headquartered in New York City.
  • C. Barclays Capital
    Barclays Capital is the investment banking division of Barclays, providing global financial advisory, capital markets, and trading services to institutional and corporate clients.
  • D. Citigroup
    Citigroup is a major American multinational investment bank and financial services corporation headquartered in New York City.
  • E. Merrill Lynch
    Merrill Lynch is a major American wealth management and investment banking firm known for its brokerage services and role in global financial markets.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63387e2048190bfb13fea434ddb46 completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.