Triple

T20267706
Position Surface form Disambiguated ID Type / Status
Subject Attention E499009 entity
Predicate hasKey P103 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: [Attention, hasKey, E minor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E minor
Context triple: [Attention, hasKey, 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e675dbb7ac8190a40c527f2c02ca50 completed April 20, 2026, 6:52 p.m.
Created at: April 11, 2026, 11:42 p.m.