Triple

T11332813
Position Surface form Disambiguated ID Type / Status
Subject 19 Recordings E268387 entity
Predicate legalDisputeTopic P83607 FINISHED
Object digital royalty payments 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: digital royalty payments | Statement: [19 Recordings, legalDisputeTopic, digital royalty payments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalDisputeTopic
Context triple: [19 Recordings, legalDisputeTopic, digital royalty payments]
  • A. legalDisputeSubject chosen
    Indicates that a legal dispute concerns, involves, or is specifically about the referenced subject or matter.
  • B. legalCase
    Indicates a relationship where a formal legal dispute or proceeding exists between parties, typically adjudicated by a court or similar authority.
  • C. legalCaseRelatedTo
    Indicates that there is a relevant connection or association between a legal case and another entity, such as a person, organization, event, or legal matter.
  • D. legalMatters
    Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or context.
  • E. litigationType
    Indicates the specific category or nature of a legal dispute or court case associated with an entity or event.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9fe5d5881908d786b212a554d8b completed April 9, 2026, 6:03 p.m.
PD Predicate disambiguation batch_69d787afe5a48190b8af1a3e19529641 completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:32 p.m.