Triple

T20032003
Position Surface form Disambiguated ID Type / Status
Subject Got a Lot to Say E497151 entity
Predicate hasMusicalKey P12877 FINISHED
Object E minor 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: E minor | Statement: [Got a Lot to Say, hasMusicalKey, E minor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E minor
Context triple: [Got a Lot to Say, hasMusicalKey, E minor]
  • A. E minor chosen
    E minor is a natural minor musical key centered on the note E, commonly used in Western music for its dark yet expressive character.
  • B. E-flat minor
    E-flat minor is a musical key characterized by a dark, somber tonality, built on the pitch E-flat as its tonic with a key signature of six flats.
  • C. B minor
    B minor is a somber, expressive musical key often associated with introspective and melancholic character in Western classical and popular music.
  • D. Great G minor
    Great G minor is the commonly used nickname for Mozart’s Symphony No. 40 in G minor, one of his most famous and frequently performed symphonies.
  • E. E-flat major
    E-flat major is a musical key characterized by three flats, often associated with warm, lyrical, and noble-sounding compositions in classical and popular music.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66292a80c81908adf95766b3b4ac4 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:36 p.m.