Triple

T8484679
Position Surface form Disambiguated ID Type / Status
Subject Aura E200802 entity
Predicate producer P490 FINISHED
Object Gaby Music
Gaby Music is a prominent Latin music producer known for crafting hits in the reggaeton and urban genres for top Spanish-speaking artists.
 E735710 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: Gaby Music | Statement: [Aura, producer, Gaby Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gaby Music
Context triple: [Aura, producer, Gaby Music]
  • A. Gnash
    Gnash is the saber-toothed tiger mascot of the NHL’s Nashville Predators, known for his energetic in-game antics and fan engagement.
  • B. Bessi
    The Bessi were an ancient Thracian tribe known from classical sources for inhabiting mountainous regions and serving as fierce, often rebellious, warriors and priests.
  • C. Kygo
    Kygo is a Norwegian DJ, record producer, and songwriter known for popularizing the tropical house genre with melodic, laid-back electronic tracks and high-profile collaborations.
  • D. The Dø
    The Dø is a French-Finnish indie pop band known for its eclectic sound blending experimental rock, folk, and electronic influences.
  • E. Rayvanny
    Rayvanny is a Tanzanian Bongo Flava and Afro-pop singer and songwriter known for his hit singles and work under the WCB Wasafi record label.
  • 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: Gaby Music
Triple: [Aura, producer, Gaby Music]
Generated description
Gaby Music is a prominent Latin music producer known for crafting hits in the reggaeton and urban genres for top Spanish-speaking artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gaby Music
Target entity description: Gaby Music is a prominent Latin music producer known for crafting hits in the reggaeton and urban genres for top Spanish-speaking artists.
  • A. Gnash
    Gnash is the saber-toothed tiger mascot of the NHL’s Nashville Predators, known for his energetic in-game antics and fan engagement.
  • B. Bessi
    The Bessi were an ancient Thracian tribe known from classical sources for inhabiting mountainous regions and serving as fierce, often rebellious, warriors and priests.
  • C. Kygo
    Kygo is a Norwegian DJ, record producer, and songwriter known for popularizing the tropical house genre with melodic, laid-back electronic tracks and high-profile collaborations.
  • D. The Dø
    The Dø is a French-Finnish indie pop band known for its eclectic sound blending experimental rock, folk, and electronic influences.
  • E. Rayvanny
    Rayvanny is a Tanzanian Bongo Flava and Afro-pop singer and songwriter known for his hit singles and work under the WCB Wasafi record label.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe539b70c81909f8f045312f0d5f8 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a3d7cb481908b366f76639bb955 completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3b1f6f7c8190927b5e2684ae207b completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3b9d38e081909be10cb209b15427 completed April 2, 2026, 9:49 a.m.
Created at: March 30, 2026, 6:12 p.m.