Triple

T18895851
Position Surface form Disambiguated ID Type / Status
Subject Crack is Wack E462205 entity
Predicate hasPart P35 FINISHED
Object text "Crack is Wack" 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: text "Crack is Wack" | Statement: [Crack is Wack, hasPart, text "Crack is Wack"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: text "Crack is Wack"
Context triple: [Crack is Wack, hasPart, text "Crack is Wack"]
  • A. Crack is Wack chosen
    "Crack is Wack" is a famous 1986 anti-drug mural in New York City created by pop and graffiti artist Keith Haring, featuring his signature bold lines and cartoon-like figures.
  • B. Crack Music
    "Crack Music" is a politically charged hip-hop track by Kanye West featuring The Game that critiques systemic racism and the crack epidemic in the United States.
  • C. Cracker Line
    The Cracker Line was a vital Union supply route established during the American Civil War to relieve the besieged Army of the Cumberland at Chattanooga.
  • D. Crack (football)
    Crack was the official match ball used during the 1962 FIFA World Cup in Chile.
  • E. Cracks
    Cracks is a 2009 psychological drama film set in an elite British girls’ boarding school, featuring Eva Green as a charismatic yet troubled diving instructor whose obsessive behavior leads to dark consequences.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c47eb0688190882c68d0d6fa9348 completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:58 a.m.