Triple

T20107029
Position Surface form Disambiguated ID Type / Status
Subject EMI America E490203 entity
Predicate umbrellaOrganization P9958 FINISHED
Object EMI 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: EMI | Statement: [EMI America, umbrellaOrganization, EMI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EMI
Context triple: [EMI America, umbrellaOrganization, EMI]
  • A. EMI chosen
    EMI was a major British music company and record label group known for signing and distributing many of the world’s leading recording artists.
  • B. EMI
    EMI was the European Monetary Institute, a precursor institution to the European Central Bank that helped prepare for the introduction of the euro and the coordination of European monetary policy.
  • C. EMI America
    EMI America was a U.S.-based record label under the EMI umbrella, known for releasing popular rock and pop music during the late 20th century.
  • D. EMF
    EMF is the former name of the World Economic Forum, an international organization that engages political, business, and other leaders to shape global, regional, and industry agendas.
  • E. EMI Blackwood Music
    EMI Blackwood Music is a music publishing company that manages and licenses song copyrights for a wide range of artists and recordings.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666dcb8d4819091889e19dd9137a6 completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:28 p.m.