Triple

T28959211
Position Surface form Disambiguated ID Type / Status
Subject Sebastian Ingrosso E731847 entity
Predicate recordLabel P1500 FINISHED
Object Refune Records
Refune Records is an independent electronic dance music label founded by Swedish DJ and producer Sebastian Ingrosso, known for releasing progressive and electro house tracks.
E1895257 NE FINISHED

How this triple was built (2 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: Refune Records | Statement: [Sebastian Ingrosso, recordLabel, Refune Records]
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: Refune Records
Triple: [Sebastian Ingrosso, recordLabel, Refune Records]
Generated description
Refune Records is an independent electronic dance music label founded by Swedish DJ and producer Sebastian Ingrosso, known for releasing progressive and electro house tracks.

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_69f043ee242c8190b063248b417c5a69 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f65bc00e148190b2dc4ce5d4245f1b completed May 2, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2721ce61f48190aa594f4a1a13e41f completed June 8, 2026, 8:10 p.m.
NEDg Description generation batch_6a2722e635488190b4dd3cf0e212f790 completed June 8, 2026, 8:15 p.m.
NED2 Entity disambiguation (via description) batch_6a2727b3fa008190a3d9bb95a065af14 completed June 8, 2026, 8:36 p.m.
Created at: April 28, 2026, 8:49 a.m.