Triple

T18633717
Position Surface form Disambiguated ID Type / Status
Subject Wimoweh E455486 entity
Predicate hasLegalHistoryAspect P20840 FINISHED
Object copyright and royalties disputes related to Mbube 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: copyright and royalties disputes related to Mbube | Statement: [Wimoweh, hasLegalHistoryAspect, copyright and royalties disputes related to Mbube]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLegalHistoryAspect
Context triple: [Wimoweh, hasLegalHistoryAspect, copyright and royalties disputes related to Mbube]
  • A. legalHistory chosen
    Indicates that there exists a record of past legal actions, cases, or statuses associated with an entity.
  • B. hasRegulationHistory
    Indicates that there exists a record or sequence of regulatory actions, decisions, or statuses associated with the entity over time.
  • C. hasHistoryIn
    Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
  • D. hasLegalStatusInHistoriography
    Indicates that an entity holds a particular recognized legal status or classification within historical or historiographical accounts of law and legal systems.
  • E. hasHistoricity
    Indicates that something possesses historical existence, significance, or authenticity, rather than being purely fictional, mythical, or timeless.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc74d208190bfda63b5b0b160cd completed April 19, 2026, 9:57 p.m.
PD Predicate disambiguation batch_69e478d4a7948190a4bb9223bb5dddfc completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:46 a.m.