Triple

T10066569
Position Surface form Disambiguated ID Type / Status
Subject Anitta E213116 entity
Predicate notableWork P4 FINISHED
Object Downtown
"Downtown" is a bilingual pop-funk single by Brazilian singer Anitta, known for its sultry style and international collaboration with Colombian artist J Balvin.
 E838929 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: Downtown | Statement: [Anitta, notableWork, Downtown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Downtown
Context triple: [Anitta, notableWork, Downtown]
  • A. Downtown
    "Downtown" is a funk- and hip hop-influenced single by Macklemore & Ryan Lewis, known for its nostalgic homage to old-school rap and mopeds.
  • B. Downtown
    "Downtown" is a 1964 pop song by Petula Clark that became an international hit and one of her signature recordings.
  • C. Downtown
    Downtown refers to the central urban area of a city, typically its main commercial and business district.
  • D. Downtown
    Downtown is an American television series featuring Mariska Hargitay in a leading role.
  • E. Downtown
    Downtown is the central business and commercial district of Washington, D.C., known for its offices, shops, restaurants, and proximity to major landmarks.
  • 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: Downtown
Triple: [Anitta, notableWork, Downtown]
Generated description
"Downtown" is a bilingual pop-funk single by Brazilian singer Anitta, known for its sultry style and international collaboration with Colombian artist J Balvin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Downtown
Target entity description: "Downtown" is a bilingual pop-funk single by Brazilian singer Anitta, known for its sultry style and international collaboration with Colombian artist J Balvin.
  • A. Downtown
    Downtown is an American television series featuring Mariska Hargitay in a leading role.
  • B. Downtown
    Downtown is the central business and commercial district of Washington, D.C., known for its offices, shops, restaurants, and proximity to major landmarks.
  • C. Downtown
    "Downtown" is a funk- and hip hop-influenced single by Macklemore & Ryan Lewis, known for its nostalgic homage to old-school rap and mopeds.
  • D. Downtown
    "Downtown" is a 1964 pop song by Petula Clark that became an international hit and one of her signature recordings.
  • E. Downtown
    Downtown refers to the central urban area of a city, typically its main commercial and business district.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff63a4c8190bb08a0428aafa189 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a8e682881909f5d079cc75e980b completed April 5, 2026, 5:23 p.m.
NEDg Description generation batch_69d29b985e308190a6ec3966e02f429c completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29c5f64c881909aa3d093422fe475 completed April 5, 2026, 5:31 p.m.
Created at: March 30, 2026, 8:58 p.m.