Triple

T23502348
Position Surface form Disambiguated ID Type / Status
Subject Financial Times–Goldman Sachs Business Book of the Year Award E571883 entity
Predicate hasAwarded P2391 FINISHED
Object The Big Short NE NERFINISHED

How this triple was built (3 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: The Big Short | Statement: [Financial Times–Goldman Sachs Business Book of the Year Award, hasAwarded, The Big Short]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Big Short
Context triple: [Financial Times–Goldman Sachs Business Book of the Year Award, hasAwarded, The Big Short]
  • A. The Big Short
    The Big Short is a 2015 biographical comedy-drama film about the 2007–2008 financial crisis, focusing on investors who bet against the U.S. housing market.
  • B. The Wolf of Wall Street
    The Wolf of Wall Street is a 2013 biographical black comedy film directed by Martin Scorsese that chronicles stockbroker Jordan Belfort’s rise and fall amid rampant Wall Street corruption and excess.
  • C. Catching the Wolf of Wall Street
    Catching the Wolf of Wall Street is Jordan Belfort’s memoir detailing his downfall, legal troubles, and life after the events chronicled in his earlier book, The Wolf of Wall Street.
  • D. 13 Bankers
    13 Bankers is a nonfiction book by economist Simon Johnson that analyzes the rise of powerful financial institutions in the United States and argues that their unchecked influence poses a serious threat to democracy and economic stability.
  • E. Wall Street: Money Never Sleeps
    Wall Street: Money Never Sleeps is a 2010 financial drama film and sequel to the 1987 movie "Wall Street," exploring themes of greed, redemption, and the 2008 economic crisis.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Big Short
Target entity description: The Big Short is a nonfiction book by Michael Lewis that chronicles the build-up to the 2008 financial crisis through the stories of investors who bet against the U.S. housing market.
  • A. The Big Short
    The Big Short is a 2015 biographical comedy-drama film about the 2007–2008 financial crisis, focusing on investors who bet against the U.S. housing market.
  • B. The Wolf of Wall Street
    The Wolf of Wall Street is a 2013 biographical black comedy film directed by Martin Scorsese that chronicles stockbroker Jordan Belfort’s rise and fall amid rampant Wall Street corruption and excess.
  • C. Catching the Wolf of Wall Street
    Catching the Wolf of Wall Street is Jordan Belfort’s memoir detailing his downfall, legal troubles, and life after the events chronicled in his earlier book, The Wolf of Wall Street.
  • D. 13 Bankers
    13 Bankers is a nonfiction book by economist Simon Johnson that analyzes the rise of powerful financial institutions in the United States and argues that their unchecked influence poses a serious threat to democracy and economic stability.
  • E. Wall Street: Money Never Sleeps
    Wall Street: Money Never Sleeps is a 2010 financial drama film and sequel to the 1987 movie "Wall Street," exploring themes of greed, redemption, and the 2008 economic crisis.
  • F. None of above. chosen

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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fd65e08190ae94ad4f0638cc0e completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:06 p.m.