Triple

T3432445
Position Surface form Disambiguated ID Type / Status
Subject Metro Boomin E72368 entity
Predicate signatureTagline P7688 FINISHED
Object If Young Metro don’t trust you, I’m gon’ shoot you LITERAL 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: If Young Metro don’t trust you, I’m gon’ shoot you | Statement: [Metro Boomin, signatureTagline, If Young Metro don’t trust you, I’m gon’ shoot you]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: signatureTagline
Context triple: [Metro Boomin, signatureTagline, If Young Metro don’t trust you, I’m gon’ shoot you]
  • A. hasTagline chosen
    Indicates that an entity is associated with a specific slogan or tagline that represents or promotes it.
  • B. signatureLine
    Indicates that an entity serves as a designated place or line where a signature is written or recorded.
  • C. signatureTheme
    Indicates that something serves as a distinctive, defining theme strongly associated with a particular entity or context.
  • D. signatureStyle
    Indicates the characteristic way in which an entity typically signs its name or marks documents, distinguishing its unique signing pattern or format.
  • E. signature
    Indicates that one entity has provided an official or personal signed endorsement, authorization, or acknowledgment on or for another entity.
  • F. None of above.

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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9c077d48190bee40795cab3e422 completed March 8, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69adae00ad588190bef24373b58a2e1a completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:15 p.m.