Triple

T17065705
Position Surface form Disambiguated ID Type / Status
Subject Stephen Lang E414080 entity
Predicate notableWork P4 FINISHED
Object Crime Story E791079 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: Crime Story | Statement: [Stephen Lang, notableWork, Crime Story]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crime Story
Context triple: [Stephen Lang, notableWork, Crime Story]
  • A. Crime Story chosen
    Crime Story is an American crime drama television series set in the 1960s that follows the conflict between a Chicago police unit and organized crime figures.
  • B. American Crime
    American Crime is an anthology crime drama television series that explores complex social and racial issues through interconnected stories of crime and its impact on victims, perpetrators, and communities.
  • C. Crime Pays
    "Crime Pays" is a soulful, sample-heavy hip-hop track by the duo MadGibbs (rapper Freddie Gibbs and producer Madlib), known for its vivid street narratives and lush, jazzy production.
  • D. Crime Pays
    Crime Pays is a 2009 studio album by Harlem rapper Cam'ron, known for its gritty street narratives and return-to-form sound.
  • E. Kriminal
    Kriminal is an Italian comic book antihero and master thief known for his skull costume and dark, crime-centered adventures.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db8171348190ab68d2e4f05f7120 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01234e9a94819094618ba43b7d22b4 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.