Triple

T2534911
Position Surface form Disambiguated ID Type / Status
Subject MTV Europe Music Awards E56245 entity
Predicate alsoKnownAs P39 FINISHED
Object EMAs
The EMAs are MTV's annual Europe Music Awards ceremony celebrating popular music artists and performances, primarily targeting a European and global youth audience.
 E273975 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: EMAs | Statement: [MTV Europe Music Awards, alsoKnownAs, EMAs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EMAs
Context triple: [MTV Europe Music Awards, alsoKnownAs, EMAs]
  • A. EMA
    EMA is the three-letter IATA airport code for East Midlands Airport in England, which serves the East Midlands region with domestic and international flights.
  • B. EMA
    EMA is the European Union’s regulatory authority responsible for the scientific evaluation, supervision, and safety monitoring of medicines.
  • C. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • D. 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.
  • E. ESM
    ESM is the abbreviation for NASA’s Exceptional Service Medal, an honor awarded to individuals for significant, sustained contributions to the agency’s mission.
  • 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: EMAs
Triple: [MTV Europe Music Awards, alsoKnownAs, EMAs]
Generated description
The EMAs are MTV's annual Europe Music Awards ceremony celebrating popular music artists and performances, primarily targeting a European and global youth audience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EMAs
Target entity description: The EMAs are MTV's annual Europe Music Awards ceremony celebrating popular music artists and performances, primarily targeting a European and global youth audience.
  • A. EMA
    EMA is the three-letter IATA airport code for East Midlands Airport in England, which serves the East Midlands region with domestic and international flights.
  • B. EMA
    EMA is the European Union’s regulatory authority responsible for the scientific evaluation, supervision, and safety monitoring of medicines.
  • C. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • D. 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.
  • E. ESM
    ESM is the abbreviation for NASA’s Exceptional Service Medal, an honor awarded to individuals for significant, sustained contributions to the agency’s mission.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd27c8650819080005869789b802c completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2bbf248481908f588bc1cf46d168 completed March 9, 2026, 8:21 p.m.
NEDg Description generation batch_69af43444ba481909311e86f5ab3a2c9 completed March 9, 2026, 10:01 p.m.
NED2 Entity disambiguation (via description) batch_69af43a2055c8190906a984afe0298c9 completed March 9, 2026, 10:03 p.m.
Created at: March 6, 2026, 9:47 p.m.