Triple

T8450680
Position Surface form Disambiguated ID Type / Status
Subject The Big Short E199791 entity
Predicate basedOn P98 FINISHED
Object The Big Short: Inside the Doomsday Machine E199791 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: The Big Short: Inside the Doomsday Machine | Statement: [The Big Short, basedOn, The Big Short: Inside the Doomsday Machine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Big Short: Inside the Doomsday Machine
Context triple: [The Big Short, basedOn, The Big Short: Inside the Doomsday Machine]
  • A. The Big Short chosen
    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. Too Big to Fail
    Too Big to Fail is a 2011 HBO drama film that chronicles the 2008 financial crisis through the perspectives of key U.S. government and Wall Street figures.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44815488190a912d63512e19af0 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39c11a488190b7775002e419eee7 completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:09 p.m.