Triple

T3912445
Position Surface form Disambiguated ID Type / Status
Subject Gesaffelstein E87353 entity
Predicate recordLabel P1500 FINISHED
Object Owsla
Owsla is an American record label founded by Skrillex, known for releasing influential electronic dance music across genres like dubstep, electro house, and bass music.
 E399045 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: Owsla | Statement: [Gesaffelstein, recordLabel, Owsla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Owsla
Context triple: [Gesaffelstein, recordLabel, Owsla]
  • A. T’Pau
    T’Pau is a highly respected Vulcan matriarch and diplomat in the Star Trek universe, known for presiding over key Vulcan rituals and embodying traditional Vulcan logic and authority.
  • B. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • C. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • D. Enide
    Enide is a heroine of Arthurian romance, best known as the loyal and courageous wife of the knight Erec in medieval French literature.
  • E. Annabella
    Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
  • 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: Owsla
Triple: [Gesaffelstein, recordLabel, Owsla]
Generated description
Owsla is an American record label founded by Skrillex, known for releasing influential electronic dance music across genres like dubstep, electro house, and bass music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Owsla
Target entity description: Owsla is an American record label founded by Skrillex, known for releasing influential electronic dance music across genres like dubstep, electro house, and bass music.
  • A. T’Pau
    T’Pau is a highly respected Vulcan matriarch and diplomat in the Star Trek universe, known for presiding over key Vulcan rituals and embodying traditional Vulcan logic and authority.
  • B. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • C. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • D. Enide
    Enide is a heroine of Arthurian romance, best known as the loyal and courageous wife of the knight Erec in medieval French literature.
  • E. Annabella
    Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed37b19c81908e690c495d96607f completed March 9, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5285851248190a18cea371aacbc49 completed March 14, 2026, 9:20 a.m.
NEDg Description generation batch_69b5292b13a08190bf23231285adae38 completed March 14, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_69b529600884819098cb208e38e6281a completed March 14, 2026, 9:24 a.m.
Created at: March 9, 2026, 3:22 p.m.