Triple

T36085042
Position Surface form Disambiguated ID Type / Status
Subject "Cash Me Ousside, How Bout Dat" E1043752 entity
Predicate hasSpokenForm P6196 FINISHED
Object Cash me ousside, how bout dat?
"Cash me ousside, how bout dat?" is a viral catchphrase originating from a 2016 Dr. Phil episode featuring Danielle Bregoli, which quickly became an internet meme and pop culture reference.
E2167811 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: Cash me ousside, how bout dat? | Statement: ["Cash Me Ousside, How Bout Dat", hasSpokenForm, Cash me ousside, how bout dat?]
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: Cash me ousside, how bout dat?
Triple: ["Cash Me Ousside, How Bout Dat", hasSpokenForm, Cash me ousside, how bout dat?]
Generated description
"Cash me ousside, how bout dat?" is a viral catchphrase originating from a 2016 Dr. Phil episode featuring Danielle Bregoli, which quickly became an internet meme and pop culture reference.

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_69f76e3154908190a6f702671c2bea08 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b240cfa481908cc8b1b370f3c330 completed May 3, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38d5428d64819099ebe4842364c767 completed June 22, 2026, 6:25 a.m.
NEDg Description generation batch_6a38d60d968081908071371e5bbc1314 completed June 22, 2026, 6:28 a.m.
NED2 Entity disambiguation (via description) batch_6a38d6b7722c81909093057618f2569a completed June 22, 2026, 6:31 a.m.
Created at: May 3, 2026, 4:08 p.m.