Triple

T5348042
Position Surface form Disambiguated ID Type / Status
Subject Take the "A" Train E124103 entity
Predicate publisher P29 FINISHED
Object Tempo Music
Tempo Music is a music publishing company known for handling rights to prominent jazz standards, including works associated with Duke Ellington.
E513288 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: Tempo Music | Statement: [Take the "A" Train, publisher, Tempo Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tempo Music
Context triple: [Take the "A" Train, publisher, Tempo Music]
  • A. Tempo
    Tempo was the internal codename used by Apple for the Mac OS 8 operating system during its development.
  • B. KPM Music Library
    KPM Music Library is a renowned British production music company known for its extensive catalog of library music widely used in film, television, and broadcasting.
  • C. Tunes
    Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
  • D. Coded Tunes
    Coded Tunes is a Nigerian music record label known for helping launch the career of rapper Olamide and other prominent Afrobeats artists.
  • E. Music Blocks
    Music Blocks is an educational, block-based programming environment designed to teach music theory and computational thinking, created by open-source software developer and educator Walter Bender.
  • 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: Tempo Music
Triple: [Take the "A" Train, publisher, Tempo Music]
Generated description
Tempo Music is a music publishing company known for handling rights to prominent jazz standards, including works associated with Duke Ellington.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tempo Music
Target entity description: Tempo Music is a music publishing company known for handling rights to prominent jazz standards, including works associated with Duke Ellington.
  • A. Tempo
    Tempo was the internal codename used by Apple for the Mac OS 8 operating system during its development.
  • B. KPM Music Library
    KPM Music Library is a renowned British production music company known for its extensive catalog of library music widely used in film, television, and broadcasting.
  • C. Tunes
    Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
  • D. Coded Tunes
    Coded Tunes is a Nigerian music record label known for helping launch the career of rapper Olamide and other prominent Afrobeats artists.
  • E. Music Blocks
    Music Blocks is an educational, block-based programming environment designed to teach music theory and computational thinking, created by open-source software developer and educator Walter Bender.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ef75148190815461c2a49302e9 completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21cd34a08190857dd960c12fec0c completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf227781bc819083b8aba59618cc46 completed March 21, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69bf231d41848190b67de46bdbb38ab3 completed March 21, 2026, 11 p.m.
Created at: March 20, 2026, 2:01 p.m.