Triple

T17086354
Position Surface form Disambiguated ID Type / Status
Subject Break It Off E414607 entity
Predicate producer P490 FINISHED
Object Daseca
Daseca is a Jamaican dancehall production team known for crafting hit riddims and tracks for prominent artists in the genre.
 E1249093 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: Daseca | Statement: [Break It Off, producer, Daseca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daseca
Context triple: [Break It Off, producer, Daseca]
  • A. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • B. Cesca
    Cesca is a feminine given name, commonly used as a short form of Francesca.
  • C. Darsa
    Darsa is a small, sparsely inhabited island in the Indian Ocean that forms part of Yemen’s remote Socotra archipelago, known for its isolation and rich marine life.
  • D. Darphin
    Darphin is a French luxury skincare brand renowned for its botanically based, spa-inspired treatments and high-performance serums.
  • E. Dergano
    Dergano is a metro station in Milan, Italy, serving the Dergano district on the city’s underground network.
  • 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: Daseca
Triple: [Break It Off, producer, Daseca]
Generated description
Daseca is a Jamaican dancehall production team known for crafting hit riddims and tracks for prominent artists in the genre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daseca
Target entity description: Daseca is a Jamaican dancehall production team known for crafting hit riddims and tracks for prominent artists in the genre.
  • A. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • B. Cesca
    Cesca is a feminine given name, commonly used as a short form of Francesca.
  • C. Darsa
    Darsa is a small, sparsely inhabited island in the Indian Ocean that forms part of Yemen’s remote Socotra archipelago, known for its isolation and rich marine life.
  • D. Darphin
    Darphin is a French luxury skincare brand renowned for its botanically based, spa-inspired treatments and high-performance serums.
  • E. Dergano
    Dergano is a metro station in Milan, Italy, serving the Dergano district on the city’s underground network.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe7ccb48190b8fb39e2a0ba0782 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee651ec8190a37c5997f394d24b completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012ff7788c819086b2e6c0e382014c completed May 11, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0130dbe1f8819095b2d36882bf3287 completed May 11, 2026, 1:29 a.m.
Created at: April 10, 2026, 5:35 a.m.