Triple

T3246515
Position Surface form Disambiguated ID Type / Status
Subject Beerbongs & Bentleys E68077 entity
Predicate includesSingle P11236 FINISHED
Object Candy Paint E340549 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: Candy Paint | Statement: [Beerbongs & Bentleys, includesSingle, Candy Paint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Candy Paint
Context triple: [Beerbongs & Bentleys, includesSingle, Candy Paint]
  • A. Candy Paint chosen
    "Candy Paint" is a hip-hop track by Post Malone, known for its melodic hooks and luxury car-themed lyrics.
  • B. Paint
    Paint is a simple raster graphics editor developed by Microsoft and bundled with various versions of the Windows operating system for basic image creation and editing.
  • C. Smarties
    Smarties are colorful sugar-coated chocolate confectionery pieces popular as a candy treat, particularly in Europe and Canada.
  • D. Candy Ferocity
    Candy Ferocity is a fictional main character known for her bold, flamboyant persona and striking, high-energy presence.
  • E. Spot Paintings
    Spot Paintings is a famous series of abstract works by British artist Damien Hirst featuring grids of uniformly spaced, multicolored dots on white backgrounds.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf1a96148190b63bf46209712707 completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28eb55734819093f470caacc3e29c completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:09 p.m.