Triple

T19527087
Position Surface form Disambiguated ID Type / Status
Subject Detective Lieutenant Sims E488551 entity
Predicate appearsIn P795 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: [Detective Lieutenant Sims, appearsIn, Crime Wave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crime Wave
Context triple: [Detective Lieutenant Sims, appearsIn, 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. Murder City
    "Murder City" is a punk rock song by Green Day from their politically charged concept album *21st Century Breakdown*.
  • D. Murder City
    Murder City is a British television crime drama series featuring Tom Wisdom in a prominent role.
  • E. Mobbed
    Mobbed is a mystery novel by American author Carol Higgins Clark featuring her recurring sleuth Regan Reilly in a suspenseful, humorous whodunit.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363c2660819093a6b9a444ca0ad4 completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.