Triple

T13855176
Position Surface form Disambiguated ID Type / Status
Subject Lady A E333045 entity
Predicate notableWork P4 FINISHED
Object Downtown
"Downtown" is a 2010 country-pop song by Lady A (formerly Lady Antebellum), known for its upbeat tempo and playful lyrics about escaping routine for a night out in the city.
 E1066847 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: [Lady A, notableWork, Downtown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Downtown
Context triple: [Lady A, notableWork, Downtown]
  • 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 refers to the central urban area of a city, typically its main commercial and business district.
  • D. 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.
  • E. 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.
  • 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: [Lady A, notableWork, Downtown]
Generated description
"Downtown" is a 2010 country-pop song by Lady A (formerly Lady Antebellum), known for its upbeat tempo and playful lyrics about escaping routine for a night out in the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Downtown
Target entity description: "Downtown" is a 2010 country-pop song by Lady A (formerly Lady Antebellum), known for its upbeat tempo and playful lyrics about escaping routine for a night out in the city.
  • A. 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.
  • B. 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.
  • C. Downtown
    "Downtown" is a 1964 pop song by Petula Clark that became an international hit and one of her signature recordings.
  • 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

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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02db9c9c81909bb2d2fbfb7394b1 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0fb7c3c819081fc6f89aa17d6af completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c2c711948190ac614291592a7e03 completed May 3, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69f7c36f28b48190b734a9e5e7ae39b9 completed May 3, 2026, 9:51 p.m.
Created at: April 9, 2026, 10:14 p.m.