Triple

T22724386
Position Surface form Disambiguated ID Type / Status
Subject Before I Self Destruct E561950 entity
Predicate hasPart P35 FINISHED
Object Crime Wave 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: Crime Wave | Statement: [Before I Self Destruct, hasPart, Crime Wave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crime Wave
Context triple: [Before I Self Destruct, hasPart, Crime Wave]
  • A. Crime Wave chosen
    Crime Wave is a 1953 film noir crime drama starring Sterling Hayden as a tough police detective pursuing an ex-convict drawn back into a world of robbery and violence.
  • B. Sky Crime
    Sky Crime is a British pay television channel from Sky dedicated to true crime documentaries and series.
  • C. Crime in the City
    "Crime in the City" is a song by Neil Young, originally appearing in an extended form as "Crime in the City (Sixty to Zero Part I)" on his 1989 album Freedom.
  • D. Murder City
    "Murder City" is a punk rock song by Green Day from their politically charged concept album *21st Century Breakdown*.
  • E. Murder City
    Murder City is a British television crime drama series featuring Tom Wisdom in a prominent role.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17928a21c8190a1b888754ba7808b completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:20 p.m.