Triple

T5937067
Position Surface form Disambiguated ID Type / Status
Subject The Black Album E132068 entity
Predicate producer P490 FINISHED
Object Aqua
Aqua is a Danish-Norwegian pop group best known for their late-1990s Eurodance hits like "Barbie Girl."
 E559238 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: Aqua | Statement: [The Black Album, producer, Aqua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aqua
Context triple: [The Black Album, producer, Aqua]
  • A. Aqua
    Aqua is a popular bottled drinking water brand owned by the multinational food and beverage company Danone, widely sold in various markets, especially in Asia.
  • B. Aqua
    Aqua is the distinctive, glossy, and translucent graphical user interface introduced by Apple for macOS, known for its vibrant colors, smooth animations, and skeuomorphic design elements.
  • C. Aqua Marcia
    Aqua Marcia was one of ancient Rome’s longest and most celebrated aqueducts, renowned for supplying the city with abundant, high-quality water.
  • D. Aquatica
    Aquatica is a chain of water parks owned and operated by SeaWorld Parks & Entertainment, known for combining high-thrill water attractions with marine life themes.
  • E. Waterfall
    Waterfall is a modern, upscale mixed-use suburb in Midrand, South Africa, known for its residential estates, business parks, and retail developments.
  • 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: Aqua
Triple: [The Black Album, producer, Aqua]
Generated description
Aqua is a Danish-Norwegian pop group best known for their late-1990s Eurodance hits like "Barbie Girl."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aqua
Target entity description: Aqua is a Danish-Norwegian pop group best known for their late-1990s Eurodance hits like "Barbie Girl."
  • A. Aqua
    Aqua is the distinctive, glossy, and translucent graphical user interface introduced by Apple for macOS, known for its vibrant colors, smooth animations, and skeuomorphic design elements.
  • B. Aqua
    Aqua is a popular bottled drinking water brand owned by the multinational food and beverage company Danone, widely sold in various markets, especially in Asia.
  • C. Aqua Marcia
    Aqua Marcia was one of ancient Rome’s longest and most celebrated aqueducts, renowned for supplying the city with abundant, high-quality water.
  • D. Aquatica
    Aquatica is a chain of water parks owned and operated by SeaWorld Parks & Entertainment, known for combining high-thrill water attractions with marine life themes.
  • E. Waterfall
    Waterfall is a modern, upscale mixed-use suburb in Midrand, South Africa, known for its residential estates, business parks, and retail developments.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038eca9688190adeed21df058daf1 completed March 22, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3b68a1c81908a219ffee8300e02 completed March 23, 2026, 6:54 a.m.
NEDg Description generation batch_69c0f69ac3f8819093ef9965395b5a44 completed March 23, 2026, 8:15 a.m.
NED2 Entity disambiguation (via description) batch_69c0f76626208190a6fe34192f3d4e2e completed March 23, 2026, 8:18 a.m.
Created at: March 22, 2026, 4:01 p.m.