Triple

T20105413
Position Surface form Disambiguated ID Type / Status
Subject Ted de Corsia E490154 entity
Predicate notableWork P4 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: [Ted de Corsia, notableWork, Crime Wave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crime Wave
Context triple: [Ted de Corsia, notableWork, 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666dbad30819082454f360f358131 completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:28 p.m.