Triple

T3661701
Position Surface form Disambiguated ID Type / Status
Subject Max Greenfield E77663 entity
Predicate notableWork P4 FINISHED
Object The Big Short 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 | Statement: [Max Greenfield, notableWork, The Big Short]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Big Short
Context triple: [Max Greenfield, notableWork, The Big Short]
  • 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. 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. 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. Catch Me If You Can
    Catch Me If You Can is a biographical crime film directed by Steven Spielberg that follows the real-life exploits of con artist Frank Abagnale Jr., portrayed by Leonardo DiCaprio.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d826d88190b0b50e8592088a36 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c39796648190a83a7f1a63c653bd completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:25 p.m.