Triple

T19452546
Position Surface form Disambiguated ID Type / Status
Subject David Kohan E486647 entity
Predicate notableWork P4 FINISHED
Object Good Morning, Miami 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: Good Morning, Miami | Statement: [David Kohan, notableWork, Good Morning, Miami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Morning, Miami
Context triple: [David Kohan, notableWork, Good Morning, Miami]
  • A. Good Morning, Miami chosen
    Good Morning, Miami is an American sitcom that aired in the early 2000s, following the behind-the-scenes antics of a struggling Miami morning television show.
  • 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. Goin' Back to Miami
    "Goin' Back to Miami" is an energetic rhythm and blues song popularized by The Blues Brothers, known for its lively horn arrangements and upbeat party vibe.
  • D. Private: The Miami Story
    Private: The Miami Story is an adult film production set in Miami, released by the European adult entertainment studio Private as part of its "Private" series.
  • E. Good Morning, Vietnam
    Good Morning, Vietnam is a 1987 comedy-drama film starring Robin Williams as an irreverent radio DJ entertaining U.S. troops during the Vietnam War.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63392aab08190aab09b7c356e5b10 completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.