Triple

T29169841
Position Surface form Disambiguated ID Type / Status
Subject 808 Mafia E739427 entity
Predicate foundedBy P104 FINISHED
Object Southside
Southside is an American record producer and rapper best known as a founding member of the influential hip-hop production collective 808 Mafia.
E512828 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: Southside | Statement: [808 Mafia, foundedBy, Southside]
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: Southside
Triple: [808 Mafia, foundedBy, Southside]
Generated description
Southside is an American record producer and rapper best known as a founding member of the influential hip-hop production collective 808 Mafia.

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_69f07cb6394c8190ab7842c48e699e2a completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f662d8bbc08190b7d0a2c6b810f782 completed May 2, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a255073ee108190aa68d6a714112cfa completed June 7, 2026, 11:05 a.m.
NEDg Description generation batch_6a2554568f388190960bbfb09ed37b1d completed June 7, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_6a2558e69dfc81908eea54a231ab38e7 completed June 7, 2026, 11:41 a.m.
Created at: April 28, 2026, 11:52 a.m.