Triple

T6296384
Position Surface form Disambiguated ID Type / Status
Subject Don Johnson E141141 entity
Predicate characterIn P12208 FINISHED
Object Miami Vice E196516 NE FINISHED

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: [Don Johnson, characterIn, Miami Vice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miami Vice
Context triple: [Don Johnson, characterIn, 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. 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*.
  • C. Be Cool
    "Be Cool" is a song featured on the album *Travelogue*, likely known as one of its notable tracks.
  • D. Round Midnight
    "Round Midnight" is a jazz standard composed by Thelonious Monk that has become one of the most recorded and celebrated pieces in the jazz repertoire.
  • E. Viva Las Vegas
    Viva Las Vegas is a 1964 musical romantic comedy film starring Elvis Presley as a race car driver who falls in love with a spirited swimming instructor in Las Vegas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0643ac2b48190b2db036ce709e7ea completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603f715a08190b44156b4f5166631 completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:27 p.m.