Triple

T12510514
Position Surface form Disambiguated ID Type / Status
Subject Denise Lombardo E299063 entity
Predicate mediaPortrayalIn P17824 FINISHED
Object The Wolf of Wall Street E54661 NE FINISHED

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 Wolf of Wall Street | Statement: [Denise Lombardo, mediaPortrayalIn, The Wolf of Wall Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Wolf of Wall Street
Context triple: [Denise Lombardo, mediaPortrayalIn, The Wolf of Wall Street]
  • A. The Wolf of Wall Street chosen
    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.
  • B. 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.
  • C. The Wolf of Wall Street (memoir)
    "The Wolf of Wall Street" (memoir) is Jordan Belfort’s autobiographical account of his rise and fall as a stockbroker, detailing his high-flying lifestyle, financial crimes, and eventual downfall.
  • D. 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.
  • E. American Hustle
    American Hustle is a 2013 crime comedy-drama film directed by David O. Russell, loosely based on the FBI ABSCAM operation and known for its ensemble cast and 1970s setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mediaPortrayalIn
Context triple: [Denise Lombardo, mediaPortrayalIn, The Wolf of Wall Street]
  • A. mediaDepictionAs chosen
    Indicates that one entity is portrayed or represented as another entity or in a particular way within some medium (e.g., image, film, text).
  • B. mediaExposure
    Indicates the extent to which an entity is subjected to or receives attention from media channels such as television, radio, print, or online platforms.
  • C. mediaFraming
    Indicates how media content presents, structures, and emphasizes aspects of an issue or event in ways that shape interpretation and understanding.
  • D. mediaCovered
    Indicates that one entity (such as a media outlet or source) has reported on, featured, or otherwise provided coverage of another entity or event.
  • E. mediaSubject
    Indicates that a piece of media (e.g., an article, video, or broadcast) is about, focuses on, or covers a particular subject or topic.
  • F. None of above.

Provenance (4 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954b867dc8190af8a70f797e4d133 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557243788190854208113600324e completed May 2, 2026, 7:50 p.m.
PD Predicate disambiguation batch_69d954096af88190b6be81b008c82139 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:57 p.m.