Triple

T3476934
Position Surface form Disambiguated ID Type / Status
Subject Coloring Book E73396 entity
Predicate producer P490 FINISHED
Object Kaytranada E65619 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: Kaytranada | Statement: [Coloring Book, producer, Kaytranada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaytranada
Context triple: [Coloring Book, producer, Kaytranada]
  • A. KAYTRANADA chosen
    KAYTRANADA is a Haitian-Canadian DJ and producer known for his genre-blending electronic, hip-hop, and R&B productions and critically acclaimed albums like "99.9%" and "BUBBA."
  • B. Kross
    Kross is an Estonian surname most notably borne by the acclaimed writer and former political prisoner Jaan Kross.
  • C. Y-Not
    Y-Not is a music producer best known for working on the influential hip-hop album "Electric Circus."
  • D. TK Panther
    TK Panther is the costumed panther mascot that represents the University of Northern Iowa at athletic events and campus activities.
  • E. Zaentz
    Zaentz is the surname of Saul Zaentz, the acclaimed American film producer and music industry figure known for works like *One Flew Over the Cuckoo’s Nest* and *Amadeus*.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb5a5cb88190be5624ae224e4c91 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681586788190ade529f584b76396 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.