Triple

T19650073
Position Surface form Disambiguated ID Type / Status
Subject Cynthia Blaise E471787 entity
Predicate workedOn P3 FINISHED
Object Miami Vice 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: Miami Vice | Statement: [Cynthia Blaise, workedOn, Miami Vice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miami Vice
Context triple: [Cynthia Blaise, workedOn, Miami Vice]
  • A. Miami Vice chosen
    Miami Vice is a 1980s American television crime drama series known for its stylish depiction of undercover detectives in Miami, distinctive fashion, and influential use of contemporary music.
  • B. Moon Over Miami
    Moon Over Miami is a 1941 Technicolor musical comedy film best known for starring Betty Grable in one of her signature early screen roles.
  • C. Low Rider
    "Low Rider" is a classic 1975 funk-rock song by the band War, known for its distinctive bassline and association with Chicano car culture.
  • D. Stranger in Paradise
    "Stranger in Paradise" is a popular song closely associated with Tony Bennett, adapted from Alexander Borodin's music and featured in the musical *Kismet*.
  • E. Be Cool
    Be Cool is a 2005 crime-comedy film and sequel to Get Shorty, following mobster-turned-movie-producer Chili Palmer as he moves into the music industry.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641286bbc8190886f309de13063bf completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.