Triple

T9427933
Position Surface form Disambiguated ID Type / Status
Subject Homogenic E227301 entity
Predicate hasTrack P3284 FINISHED
Object Immature
"Immature" is a song by Björk from her 1997 album "Homogenic," noted for its introspective lyrics and experimental electronic production.
 E800005 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: Immature | Statement: [Homogenic, hasTrack, Immature]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Immature
Context triple: [Homogenic, hasTrack, Immature]
  • A. Juvenile
    Juvenile is an American rapper from New Orleans best known as a member of the Hot Boys and for his influential late-1990s Southern hip hop hits like "Back That Azz Up."
  • B. Junior
    Junior is a 1994 comedy film in which Arnold Schwarzenegger plays a scientist who becomes pregnant as part of an experimental fertility project.
  • C. Junior
    Junior is the protagonist of the novel "Love" by Toni Morrison, around whom the story’s complex relationships and themes of desire, memory, and power revolve.
  • D. Young and Innocent
    Young and Innocent is a 1937 British thriller film directed by Alfred Hitchcock, known for its blend of suspense, mistaken identity, and innovative camera work.
  • E. Young
    Young is a common English surname borne by numerous notable individuals across diverse fields such as politics, civil rights, science, and the arts.
  • 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: Immature
Triple: [Homogenic, hasTrack, Immature]
Generated description
"Immature" is a song by Björk from her 1997 album "Homogenic," noted for its introspective lyrics and experimental electronic production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Immature
Target entity description: "Immature" is a song by Björk from her 1997 album "Homogenic," noted for its introspective lyrics and experimental electronic production.
  • A. Juvenile
    Juvenile is an American rapper from New Orleans best known as a member of the Hot Boys and for his influential late-1990s Southern hip hop hits like "Back That Azz Up."
  • B. Junior
    Junior is a 1994 comedy film in which Arnold Schwarzenegger plays a scientist who becomes pregnant as part of an experimental fertility project.
  • C. Junior
    Junior is the protagonist of the novel "Love" by Toni Morrison, around whom the story’s complex relationships and themes of desire, memory, and power revolve.
  • D. Young and Innocent
    Young and Innocent is a 1937 British thriller film directed by Alfred Hitchcock, known for its blend of suspense, mistaken identity, and innovative camera work.
  • E. Young
    Young is a common English surname borne by numerous notable individuals across diverse fields such as politics, civil rights, science, and the arts.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c92ee848190baa41fe91a131305 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11034369c81908992e268e66d7833 completed April 4, 2026, 1:20 p.m.
NEDg Description generation batch_69d1149f6f6c81908ea2fce6f29ccb64 completed April 4, 2026, 1:39 p.m.
NED2 Entity disambiguation (via description) batch_69d115168d748190909687d39fb79e24 completed April 4, 2026, 1:41 p.m.
Created at: March 30, 2026, 7:49 p.m.