Triple

T33948682
Position Surface form Disambiguated ID Type / Status
Subject YBN collective E870377 entity
Predicate notableWork P4 FINISHED
Object Rubbin Off the Paint
"Rubbin Off the Paint" is a breakout rap single by YBN Nahmir that gained widespread attention for its viral success and helped popularize the YBN collective.
 E2076041 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: Rubbin Off the Paint | Statement: [YBN collective, notableWork, Rubbin Off the Paint]
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: Rubbin Off the Paint
Triple: [YBN collective, notableWork, Rubbin Off the Paint]
Generated description
"Rubbin Off the Paint" is a breakout rap single by YBN Nahmir that gained widespread attention for its viral success and helped popularize the YBN collective.

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_69f3499b0dd48190b07b4b60babcee02 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f70273880481909004163df64e94b7 completed May 3, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3689dbd0248190842349fab66d7a90 completed June 20, 2026, 12:38 p.m.
NEDg Description generation batch_6a368b099a348190871d108d1fed6165 completed June 20, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_6a368bacdae48190819446ae98dfa7c3 completed June 20, 2026, 12:46 p.m.
Created at: May 1, 2026, 1:49 a.m.