Triple

T19974091
Position Surface form Disambiguated ID Type / Status
Subject James Russo E493641 entity
Predicate notableWork P4 FINISHED
Object Public Enemies NE NERFINISHED

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: Public Enemies | Statement: [James Russo, notableWork, Public Enemies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Public Enemies
Context triple: [James Russo, notableWork, Public Enemies]
  • A. Public Enemies chosen
    Public Enemies is a 2009 crime drama film directed by Michael Mann that chronicles the final years of notorious bank robber John Dillinger during the Great Depression.
  • B. Public Enemies
    Public Enemies is a 1941 American crime drama film best known for featuring actress Brenda Joyce in a prominent role.
  • C. End of Watch
    End of Watch is a 2012 American found-footage-style crime drama film following two LAPD officers as they patrol the dangerous streets of South Central Los Angeles.
  • D. End of Watch
    End of Watch is a 2016 crime thriller novel by Stephen King that concludes the Bill Hodges trilogy, blending detective fiction with supernatural elements.
  • E. ThePublicEnemy
    ThePublicEnemy is a landmark 1931 American gangster film that helped define the genre and cemented James Cagney’s status as a major Hollywood star.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65bcb72048190aedb4f085ace0493 completed April 20, 2026, 5 p.m.
Created at: April 11, 2026, 3:23 p.m.