Triple

T36036145
Position Surface form Disambiguated ID Type / Status
Subject Lupaus E1042403 entity
Predicate hasMusicalScoreBy P77605 FINISHED
Object Tuomas Kantelinen 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: Tuomas Kantelinen | Statement: [Lupaus, hasMusicalScoreBy, Tuomas Kantelinen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMusicalScoreBy
Context triple: [Lupaus, hasMusicalScoreBy, Tuomas Kantelinen]
  • A. hasNoMusicalScore
    Indicates that something lacks an associated musical score or written musical accompaniment.
  • B. hasMusicalComposer
    Indicates that one entity serves as the musical composer responsible for creating the music associated with another entity.
  • C. isMusicalWorkFor
    Indicates that a musical work is created, intended, or designated for a particular entity, such as an instrument, performer, event, or context.
  • D. musicScoreBy chosen
    Indicates that a musical score was created or composed by a particular agent or entity.
  • E. hasMusicalWorkType
    Indicates that a musical work is associated with a specific type or category of musical composition.
  • F. None of above.

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_69f76e2d7e8c8190bac4e90734566799 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fe78e545888190a239af1a84280fa0 completed May 8, 2026, 11:59 p.m.
PD Predicate disambiguation batch_69fe7842742081908043eb950ed69f92 completed May 8, 2026, 11:56 p.m.
Created at: May 3, 2026, 4:07 p.m.