Triple

T18994934
Position Surface form Disambiguated ID Type / Status
Subject Mind Body & Soul E464784 entity
Predicate hasPart P35 FINISHED
Object Understand 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: Understand | Statement: [Mind Body & Soul, hasPart, Understand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Understand
Context triple: [Mind Body & Soul, hasPart, Understand]
  • A. Understand chosen
    "Understand" is a song included in the setlist of the Back to Basics Tour, likely performed as part of the artist's exploration of classic and personal themes during the concert series.
  • B. Understand
    "Understand" is a popular Afrobeats song by Nigerian singer Omah Lay, known for its emotive lyrics and smooth, melodic production.
  • C. “Understand”
    "Understand" is a track from The Roots’ concept album …And Then You Shoot Your Cousin, contributing to the record’s dark, socially conscious narrative.
  • D. Understanding
    "Understanding" is a song by American rock musician Bob Seger, released as one of the singles in his discography.
  • E. Understanding Understanding
    Understanding Understanding is a seminal collection of essays by cybernetician Heinz von Foerster that explores second-order cybernetics, cognition, and the processes by which we construct knowledge and meaning.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d680dd2881908a72e732c6b25477 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.