Triple

T6472649
Position Surface form Disambiguated ID Type / Status
Subject Mario Draghi E145991 entity
Predicate employer P7 FINISHED
Object Goldman Sachs International 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 International | Statement: [Mario Draghi, employer, Goldman Sachs International]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goldman Sachs International
Context triple: [Mario Draghi, employer, Goldman Sachs International]
  • 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. 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.
  • D. Citigroup
    Citigroup is a major American multinational investment bank and financial services corporation headquartered in New York City.
  • E. Deutsche Bank
    Deutsche Bank is a major global investment bank and financial services company headquartered in Frankfurt, Germany.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a3188488190a1b7452ede91ba5e completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6539fe1e08190ae0004ed2113e319 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:50 p.m.