Triple

T7563290
Position Surface form Disambiguated ID Type / Status
Subject Elisha Wiesel E178845 entity
Predicate employer P7 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: [Elisha Wiesel, employer, Goldman Sachs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goldman Sachs
Context triple: [Elisha Wiesel, employer, 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fb1c00819096bdb73334d8d72e completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856d8206081909987556fb6ab7084 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.