Triple

T4014015
Position Surface form Disambiguated ID Type / Status
Subject Grammy Award for Best Orchestral Performance E90711 entity
Predicate recordLabelEligibility P53937 FINISHED
Object commercial labels LITERAL FINISHED

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: commercial labels | Statement: [Grammy Award for Best Orchestral Performance, recordLabelEligibility, commercial labels]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recordLabelEligibility
Context triple: [Grammy Award for Best Orchestral Performance, recordLabelEligibility, commercial labels]
  • A. hasRecordLabel
    Indicates that an entity (typically a musical artist or release) is associated with or signed to a particular record label.
  • B. recordLabelForSingle
    Indicates that a record label is responsible for producing, releasing, or distributing a particular single.
  • C. hasRecordingLabel
    Indicates that an entity (such as an artist or release) is associated with a particular recording label that publishes or distributes its music.
  • D. musicAccreditation
    Indicates that an entity has been formally recognized, certified, or authorized in the field of music by a relevant accrediting body.
  • E. recordLabelLocation
    Indicates the geographic place where a record label is based or operates from.
  • F. None of above. chosen

Provenance (4 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaec08dc8190a341809059554f84 completed March 9, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69aef8fa6fec81909b1190ecbba61410 completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aefaea76c48190add2e7cee180e8b1 completed March 9, 2026, 4:52 p.m.
Created at: March 9, 2026, 3:35 p.m.