Triple

T3121812
Position Surface form Disambiguated ID Type / Status
Subject Common E65200 entity
Predicate filmAppearance P795 FINISHED
Object American Gangster E10877 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: American Gangster | Statement: [Common, filmAppearance, American Gangster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American Gangster
Context triple: [Common, filmAppearance, American Gangster]
  • A. American Gangster chosen
    American Gangster is a 2007 crime drama film starring Denzel Washington and Russell Crowe that chronicles the rise and fall of Harlem drug lord Frank Lucas in 1970s New York City.
  • B. Bugsy
    Bugsy was the notorious American mobster Benjamin Siegel, a key figure in the development of Las Vegas and organized crime in the early 20th century.
  • C. Gangster Squad
    Gangster Squad is a 2013 crime action film set in 1940s–50s Los Angeles, following an elite police unit’s violent battle against mobster Mickey Cohen.
  • D. Carlito's Way
    Carlito's Way is a 1993 crime drama film directed by Brian De Palma, starring Al Pacino as a reformed Puerto Rican gangster trying to escape his violent past in New York City.
  • E. Sin City
    Sin City is a popular nickname for Las Vegas, Nevada, highlighting its reputation for gambling, nightlife, and adult entertainment.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada52ab05c819088204bbb608c837c completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b276e63ce481908671453ca67586f1 completed March 12, 2026, 8:18 a.m.
Created at: March 8, 2026, 3:04 p.m.