Triple

T19209775
Position Surface form Disambiguated ID Type / Status
Subject @Nouriel E480324 entity
Predicate relatedTo P37 FINISHED
Object Roubini Macro Associates 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: Roubini Macro Associates | Statement: [@Nouriel, relatedTo, Roubini Macro Associates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roubini Macro Associates
Context triple: [@Nouriel, relatedTo, Roubini Macro Associates]
  • A. Roubini Global Economics chosen
    Roubini Global Economics is a financial and economic research and advisory firm known for its macroeconomic analysis and market forecasts.
  • B. Nouriel Roubini
    Nouriel Roubini is an Iranian-American economist and New York University professor known for accurately predicting the 2008 global financial crisis and for his often pessimistic macroeconomic forecasts.
  • C. Paulson & Co.
    Paulson & Co. is a New York-based hedge fund firm best known for its highly profitable bets against the U.S. subprime mortgage market during the 2007–2008 financial crisis.
  • D. Laffer Associates
    Laffer Associates is an economic research and consulting firm known for its work on supply-side economics and fiscal policy analysis.
  • E. Oliver Wyman
    Oliver Wyman is a global management consulting firm known for its expertise in strategy, risk management, and organizational transformation across multiple industries.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f9a0d1248190953e36e44f0cafdd completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 1:21 p.m.