Triple

T12990939
Position Surface form Disambiguated ID Type / Status
Subject Mama Africa E321903 entity
Predicate producer P490 FINISHED
Object Masterkraft E972953 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: Masterkraft | Statement: [Mama Africa, producer, Masterkraft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masterkraft
Context triple: [Mama Africa, producer, Masterkraft]
  • A. Masterkraft chosen
    Masterkraft is a prominent Nigerian music producer known for crafting hit songs across Afrobeats and contemporary African pop.
  • B. Master Minded
    Master Minded was a top-class National Hunt racehorse, best known as a brilliant two-mile chaser trained by Paul Nicholls.
  • C. Mastry
    Mastry is a major retrospective exhibition of Kerry James Marshall’s work that highlights his exploration of Black identity and representation in Western art history.
  • D. Masterminds
    Masterminds is a 2016 American heist comedy film based on the true story of the 1997 Loomis Fargo robbery, starring Zach Galifianakis, Kristen Wiig, and Owen Wilson.
  • E. Master & Apprentice
    Master & Apprentice is a Star Wars novel by Claudia Gray that explores the early mentor-apprentice relationship between Jedi Master Qui-Gon Jinn and his Padawan Obi-Wan Kenobi.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7765788190a9503ef055bc30ca completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8fb70f481908a9a4ca04d6bf93b completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:43 p.m.