Triple

T22166562
Position Surface form Disambiguated ID Type / Status
Subject Latin trap E547801 entity
Predicate hasNotableSong P20452 FINISHED
Object Krippy Kush
"Krippy Kush" is a popular Latin trap song known for its heavy bass, catchy hook, and collaborations with prominent urban artists.
 E1523762 NE FINISHED

How this triple was built (4 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: Krippy Kush | Statement: [Latin trap, hasNotableSong, Krippy Kush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Krippy Kush
Context triple: [Latin trap, hasNotableSong, Krippy Kush]
  • A. White Widow
    White Widow is the criminal alias of Alanna Mitsopolis, a skilled arms dealer and antagonist in the Mission: Impossible film series.
  • B. Blue Dream
    Blue Dream is a track by Weezer from their rock album "Van Weezer," known for its heavy guitar riffs and classic rock influences.
  • C. Blue Dream
    Blue Dream is a track from Jhené Aiko’s debut studio album "Souled Out," known for its ethereal production and introspective R&B style.
  • D. Kush Ups
    Kush Ups is a hip-hop single by rapper Coolaid, showcasing his laid-back, cannabis-themed lyricism over a smooth, bass-heavy beat.
  • E. Lavender Haze
    "Lavender Haze" is a dreamy, synth-pop track by Taylor Swift that opens her 2022 album *Midnights* and explores themes of romantic escapism and media scrutiny.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Krippy Kush
Triple: [Latin trap, hasNotableSong, Krippy Kush]
Generated description
"Krippy Kush" is a popular Latin trap song known for its heavy bass, catchy hook, and collaborations with prominent urban artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Krippy Kush
Target entity description: "Krippy Kush" is a popular Latin trap song known for its heavy bass, catchy hook, and collaborations with prominent urban artists.
  • A. White Widow
    White Widow is the criminal alias of Alanna Mitsopolis, a skilled arms dealer and antagonist in the Mission: Impossible film series.
  • B. Blue Dream
    Blue Dream is a track by Weezer from their rock album "Van Weezer," known for its heavy guitar riffs and classic rock influences.
  • C. Blue Dream
    Blue Dream is a track from Jhené Aiko’s debut studio album "Souled Out," known for its ethereal production and introspective R&B style.
  • D. Kush Ups
    Kush Ups is a hip-hop single by rapper Coolaid, showcasing his laid-back, cannabis-themed lyricism over a smooth, bass-heavy beat.
  • E. Lavender Haze
    "Lavender Haze" is a dreamy, synth-pop track by Taylor Swift that opens her 2022 album *Midnights* and explores themes of romantic escapism and media scrutiny.
  • F. None of above. chosen

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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a3213ec8190841439dbe470d545 completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9ec0dc408190bd15bbbf0f5a79d9 completed May 18, 2026, 5:08 a.m.
NEDg Description generation batch_6a0aa2a6e9fc819086e7fac0c1214dee completed May 18, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa3b7b23c8190bf50afa02a75f326 completed May 18, 2026, 5:29 a.m.
Created at: April 16, 2026, 8:34 p.m.