Triple

T23262621
Position Surface form Disambiguated ID Type / Status
Subject I Never Liked You E582052 entity
Predicate hasPart P35 FINISHED
Object Back to the Basics — 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: Back to the Basics | Statement: [I Never Liked You, hasPart, Back to the Basics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Back to the Basics
Context triple: [I Never Liked You, hasPart, Back to the Basics]
  • A. Back to Basics
    Back to Basics is a prominent work by Ghanaian rapper Kwame that showcases his lyrical style and contributions to contemporary African hip-hop.
  • B. Back to Basics
    Back to Basics is a notable work by Leo da Lion, recognized for showcasing his distinctive style and creative approach.
  • C. Back to Basics chosen
    Back to Basics is a studio album by the American rock band Hurt, known for its blend of alternative metal and post-grunge elements.
  • D. Back to Basics
    Back to Basics is a dancehall album by Jamaican deejay Beenie Man that showcases his signature blend of hardcore riddims and crossover appeal.
  • E. Back to Basics
    Back to Basics is a Filipino television comedy show best known as a notable work of comedian and writer Tony Reyes.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194caaf208190931923744692180d completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.