Triple
T33948683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YBN collective |
E870377
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Bounce Out With That
"Bounce Out With That" is a popular hip-hop track by the YBN collective, known for its energetic delivery and viral success in the late 2010s rap scene.
|
E2076042
|
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: Bounce Out With That | Statement: [YBN collective, notableWork, Bounce Out With That]
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: Bounce Out With That Triple: [YBN collective, notableWork, Bounce Out With That]
Generated description
"Bounce Out With That" is a popular hip-hop track by the YBN collective, known for its energetic delivery and viral success in the late 2010s rap scene.
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.