Triple

T10311553
Position Surface form Disambiguated ID Type / Status
Subject Mamoudou Athie E241901 entity
Predicate notableWork P4 FINISHED
Object The Get Down E832073 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: The Get Down | Statement: [Mamoudou Athie, notableWork, The Get Down]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Get Down
Context triple: [Mamoudou Athie, notableWork, The Get Down]
  • A. The Get Down chosen
    The Get Down is a musical drama television series set in 1970s New York City that chronicles the rise of hip-hop and disco through the lives of South Bronx teenagers.
  • B. Blacktop Music
    Blacktop Music is a music publishing company known for handling rights and administration for country songs such as "When I Said I Do."
  • C. I Got Next
    "I Got Next" is a 1997 hip-hop album by KRS-One that showcases his socially conscious lyricism and boom-bap production at a peak moment in his solo career.
  • D. Get Up
    "Get Up" is a track by the American heavy metal band Scream, featured on one of their releases.
  • E. Get Up
    Get Up is a morning sports talk and analysis show on ESPN featuring discussions, highlights, and commentary on major sports stories and events.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32ac6c08190b23eb042b3ec284a completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d78ece88190885768c979b038df completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:47 a.m.