Triple

T4398993
Position Surface form Disambiguated ID Type / Status
Subject Morgan Stanley E99565 entity
Predicate competesWith P1375 FINISHED
Object Bank of America Merrill Lynch E80485 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: Bank of America Merrill Lynch | Statement: [Morgan Stanley, competesWith, Bank of America Merrill Lynch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bank of America Merrill Lynch
Context triple: [Morgan Stanley, competesWith, Bank of America Merrill Lynch]
  • A. Morgan Stanley
    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. 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.
  • D. Citigroup
    Citigroup is a major American multinational investment bank and financial services corporation headquartered in New York City.
  • E. Bank of America chosen
    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.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352cc4ab081908bc45d2f76cd4da8 completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627e47ff48190b5aea21e4af773de completed March 15, 2026, 3:30 a.m.
Created at: March 12, 2026, 11:20 p.m.