Triple

T3621738
Position Surface form Disambiguated ID Type / Status
Subject Gary Sanchez Productions E76741 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: [Gary Sanchez Productions, notableWork, The Big Short]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Big Short
Context triple: [Gary Sanchez Productions, 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2bb12cc8190bd67597cf3b66a3a completed March 8, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4331e75d08190ad1ce3e7ef26454a completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.