Triple

T8484681
Position Surface form Disambiguated ID Type / Status
Subject Aura E200802 entity
Predicate producer P490 FINISHED
Object Luian
Luian is a music producer best known in the Latin urban and reggaeton scene, often associated with high-profile collaborations and hit tracks.
 E735712 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: Luian | Statement: [Aura, producer, Luian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luian
Context triple: [Aura, producer, Luian]
  • A. Kaynardzha
    Kaynardzha is a village in northeastern Bulgaria historically notable as the site where the 1774 Treaty of Küçük Kaynarca between the Russian Empire and the Ottoman Empire was signed.
  • B. Astano
    Astano is a small Swiss village in the canton of Ticino, near the Italian border, known for its picturesque setting in the Malcantone region.
  • C. Rion
    Rion is a diminutive given name derived from Marion, often used as a shorter or more informal variant.
  • D. Estrada
    Estrada is a Filipino surname most prominently associated with Joseph Estrada, a former movie actor who became the 13th President of the Philippines.
  • E. Luoyi
    Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
  • 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: Luian
Triple: [Aura, producer, Luian]
Generated description
Luian is a music producer best known in the Latin urban and reggaeton scene, often associated with high-profile collaborations and hit tracks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luian
Target entity description: Luian is a music producer best known in the Latin urban and reggaeton scene, often associated with high-profile collaborations and hit tracks.
  • A. Kaynardzha
    Kaynardzha is a village in northeastern Bulgaria historically notable as the site where the 1774 Treaty of Küçük Kaynarca between the Russian Empire and the Ottoman Empire was signed.
  • B. Astano
    Astano is a small Swiss village in the canton of Ticino, near the Italian border, known for its picturesque setting in the Malcantone region.
  • C. Rion
    Rion is a diminutive given name derived from Marion, often used as a shorter or more informal variant.
  • D. Estrada
    Estrada is a Filipino surname most prominently associated with Joseph Estrada, a former movie actor who became the 13th President of the Philippines.
  • E. Luoyi
    Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
  • 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.