Triple

T9395977
Position Surface form Disambiguated ID Type / Status
Subject Mull of Kintyre E226140 entity
Predicate label P38 FINISHED
Object EMI
EMI was a major British music company and record label known for signing and distributing many of the world’s most famous recording artists.
 E108006 NE FINISHED

How this triple was built (4 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: [Mull of Kintyre, label, EMI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EMI
Context triple: [Mull of Kintyre, label, EMI]
  • A. EMI
    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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: EMI
Triple: [Mull of Kintyre, label, EMI]
Generated description
EMI was a major British music company and record label known for signing and distributing many of the world’s most famous recording artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EMI
Target entity description: EMI was a major British music company and record label known for signing and distributing many of the world’s most famous recording artists.
  • 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.

Provenance (5 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5112faa08190a8dd2c461d1e7a14 completed April 1, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1010ffcd4819088edafbdb43c2c00 completed April 4, 2026, 12:16 p.m.
NEDg Description generation batch_69d102cdd0688190aa024c295c58a04b completed April 4, 2026, 12:23 p.m.
NED2 Entity disambiguation (via description) batch_69d1035f47b0819085e5a67978344ba2 completed April 4, 2026, 12:26 p.m.
Created at: March 30, 2026, 7:45 p.m.