Triple

T844799
Position Surface form Disambiguated ID Type / Status
Subject Erskine Bowles E18253 entity
Predicate boardMemberOf P10 FINISHED
Object Morgan Stanley E99565 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: Morgan Stanley | Statement: [Erskine Bowles, boardMemberOf, Morgan Stanley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morgan Stanley
Context triple: [Erskine Bowles, boardMemberOf, 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. Citigroup
    Citigroup is a major American multinational investment bank and financial services corporation headquartered in New York City.
  • C. Cantor Fitzgerald
    Cantor Fitzgerald is a New York–based financial services firm and brokerage known for its bond trading operations and for suffering devastating losses in the September 11, 2001 attacks.
  • D. Bear Stearns
    Bear Stearns was a major American investment bank and brokerage firm that collapsed during the 2008 financial crisis and was acquired by JPMorgan Chase.
  • E. 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.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac09249c8190a8099b94a3c9e2cc completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3bb2fa08190b1e8f26ceb04b08c completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:38 p.m.