Triple

T921751
Position Surface form Disambiguated ID Type / Status
Subject EMI Classics E19899 entity
Predicate parentOrganization P254 FINISHED
Object 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.
 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: [EMI Classics, parentOrganization, EMI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EMI
Context triple: [EMI Classics, parentOrganization, EMI]
  • A. EMD
    EMD is the commonly used abbreviation for the Engineering Management Division, a professional group focused on the practice and advancement of engineering management.
  • B. Mogami
    Mogami was a lead ship of a class of Japanese World War II heavy cruisers known for their high speed, heavy armament, and participation in major Pacific naval battles.
  • C. Audion
    Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
  • D. BMG
    BMG is the commonly used abbreviation for Germany’s Federal Ministry of Health.
  • E. RLC
    RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
  • 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: [EMI Classics, parentOrganization, EMI]
Generated description
EMI was a major British music company and record label group known for signing and distributing many of the world’s leading 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 group known for signing and distributing many of the world’s leading recording artists.
  • A. EMD
    EMD is the commonly used abbreviation for the Engineering Management Division, a professional group focused on the practice and advancement of engineering management.
  • B. Mogami
    Mogami was a lead ship of a class of Japanese World War II heavy cruisers known for their high speed, heavy armament, and participation in major Pacific naval battles.
  • C. Audion
    Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
  • D. BMG
    BMG is the commonly used abbreviation for Germany’s Federal Ministry of Health.
  • E. RLC
    RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
  • F. None of above. chosen

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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b313cb908190ad78b3a54e4f2eb7 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf6486d88190b53cd743b08eef33 completed March 4, 2026, 6:21 a.m.
NEDg Description generation batch_69a7d02d9d308190a9e950ae034b2ec5 completed March 4, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69a7d0aac93481908ffc2141d668e9d2 completed March 4, 2026, 6:26 a.m.
Created at: March 1, 2026, 7:40 p.m.