Triple

T8116224
Position Surface form Disambiguated ID Type / Status
Subject Actually E189480 entity
Predicate label P38 FINISHED
Object EMI E108006 NE 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: EMI | Statement: [Actually, label, EMI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EMI
Context triple: [Actually, label, 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 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.
  • C. 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.
  • D. 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.
  • E. EMD
    EMD is the commonly used abbreviation for the Engineering Management Division, a professional group focused on the practice and advancement of engineering management.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43320bf881909f97a235451bb3a4 completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc944439488190b95788e3a77ee732 completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:33 p.m.