Triple

T8787001
Position Surface form Disambiguated ID Type / Status
Subject Kate Bush E209067 entity
Predicate notableWork P4 FINISHED
Object Babooshka
"Babooshka" is a 1980 art-pop song by English singer-songwriter Kate Bush, known for its dramatic storytelling, theatrical vocals, and distinctive music video.
 E756836 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: Babooshka | Statement: [Kate Bush, notableWork, Babooshka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Babooshka
Context triple: [Kate Bush, notableWork, Babooshka]
  • A. Babo
    Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
  • B. Malvina
    Malvina is a feminine given name of Scottish origin, often associated with literary and romantic traditions.
  • C. Babica
    Babica is a mountain peak located in the Maków Beskids range in southern Poland.
  • D. Bubi
    Bubi is the nickname of Erich Hartmann, the German World War II fighter pilot who became history’s highest-scoring flying ace.
  • E. Bubi
    Bubi is a Bantu language spoken by the Bubi people, primarily on Bioko Island in Equatorial Guinea.
  • 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: Babooshka
Triple: [Kate Bush, notableWork, Babooshka]
Generated description
"Babooshka" is a 1980 art-pop song by English singer-songwriter Kate Bush, known for its dramatic storytelling, theatrical vocals, and distinctive music video.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Babooshka
Target entity description: "Babooshka" is a 1980 art-pop song by English singer-songwriter Kate Bush, known for its dramatic storytelling, theatrical vocals, and distinctive music video.
  • A. Babo
    Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
  • B. Malvina
    Malvina is a feminine given name of Scottish origin, often associated with literary and romantic traditions.
  • C. Babica
    Babica is a mountain peak located in the Maków Beskids range in southern Poland.
  • D. Bubi
    Bubi is a Bantu language spoken by the Bubi people, primarily on Bioko Island in Equatorial Guinea.
  • E. Bubi
    Bubi is the nickname of Erich Hartmann, the German World War II fighter pilot who became history’s highest-scoring flying ace.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f76f27c819087aadf768df5adbf completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf520678f48190a0af3df75df9b269 completed April 3, 2026, 5:37 a.m.
NEDg Description generation batch_69cf5490df348190a31f300f0f4dae71 completed April 3, 2026, 5:48 a.m.
NED2 Entity disambiguation (via description) batch_69cf5565bc108190a283772608fd28de completed April 3, 2026, 5:51 a.m.
Created at: March 30, 2026, 6:43 p.m.