Triple

T35246885
Position Surface form Disambiguated ID Type / Status
Subject I'm in Miami Trick (Clean) E1017689 entity
Predicate replacesExplicitWord P27746 FINISHED
Object Bitch 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: Bitch | Statement: [I'm in Miami Trick (Clean), replacesExplicitWord, Bitch]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: replacesExplicitWord
Context triple: [I'm in Miami Trick (Clean), replacesExplicitWord, Bitch]
  • A. replacesWord chosen
    Indicates that one word is substituted for another word in a given context or expression.
  • B. replacesLetter
    Indicates that one letter is substituted for another letter in a given context or sequence.
  • C. replacesSense
    Indicates that one sense or meaning supersedes and takes the place of another sense, typically in an updated or corrected interpretation.
  • D. spellingReplacedBy
    Indicates that one spelling of a term has been superseded or substituted by another spelling.
  • E. replacedWith
    Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
  • 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_69f76de235048190b990070c23c51b6b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fe00dad1708190b6522476bebb43af completed May 8, 2026, 3:27 p.m.
PD Predicate disambiguation batch_69fdfc3717f48190bb50ac2919c8ef95 completed May 8, 2026, 3:07 p.m.
Created at: May 3, 2026, 4:02 p.m.