Triple

T20038614
Position Surface form Disambiguated ID Type / Status
Subject Stu Sternberg E497348 entity
Predicate previousEmployer P1910 FINISHED
Object Goldman Sachs NE NERFINISHED

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: [Stu Sternberg, previousEmployer, Goldman Sachs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goldman Sachs
Context triple: [Stu Sternberg, previousEmployer, 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. Barclays Capital
    Barclays Capital is the investment banking division of Barclays, providing global financial advisory, capital markets, and trading services to institutional and corporate clients.
  • D. Citigroup
    Citigroup is a major American multinational investment bank and financial services corporation headquartered in New York City.
  • E. Goldman
    Goldman is a surname most famously associated with Emma Goldman, the anarchist political activist and writer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e9e99c81909b7d50eac893c414 completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:36 p.m.