Triple

T14517175
Position Surface form Disambiguated ID Type / Status
Subject Candy Paint E340549 entity
Predicate hasTitle P38 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: [Candy Paint, hasTitle, Candy Paint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Candy Paint
Context triple: [Candy Paint, hasTitle, 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. The Red Crayola
    The Red Crayola is an experimental rock band formed in the 1960s, known for its avant-garde, psychedelic sound and influential role in underground music.
  • C. GEM Paint
    GEM Paint is a bitmap graphics editing program developed by Digital Research for its Graphical Environment Manager (GEM) desktop interface on early personal computers.
  • D. Candy-O
    Candy-O is the second studio album by American rock band The Cars, known for its sleek new wave sound and iconic Vargas cover art.
  • E. Candy
    Candy is a common English surname shared by various individuals, including the late Canadian actor and comedian John Candy.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a6f50208190b687b505f5cd1aa2 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da80dc88190afa96760efb0c7de completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.