Triple

T2908958
Position Surface form Disambiguated ID Type / Status
Subject Bear Stearns E63634 entity
Predicate notableCompetitor P11706 FINISHED
Object Goldman Sachs E145322 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: Goldman Sachs | Statement: [Bear Stearns, notableCompetitor, Goldman Sachs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goldman Sachs
Context triple: [Bear Stearns, notableCompetitor, Goldman Sachs]
  • A. Goldman Sachs chosen
    Goldman Sachs is a leading global investment banking, securities, and asset management firm headquartered in New York City.
  • B. Morgan Stanley
    Morgan Stanley is a leading global financial services firm known for its investment banking, securities, wealth management, and investment management services.
  • C. Citigroup
    Citigroup is a major American multinational investment bank and financial services corporation headquartered in New York City.
  • D. Goldman
    Goldman is a surname most famously associated with Emma Goldman, the anarchist political activist and writer.
  • E. Credit Suisse
    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.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0d329c88190b6fcaef0be1799eb completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b056173a988190be02619d909cdb25 completed March 10, 2026, 5:34 p.m.
Created at: March 6, 2026, 10:11 p.m.