Triple

T2700996
Position Surface form Disambiguated ID Type / Status
Subject Styles P E59226 entity
Predicate notableWork P4 FINISHED
Object I Get High
"I Get High" is a popular hip-hop single by rapper Styles P, best known for its smooth, soulful production and its candid celebration of marijuana use.
 E290736 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: I Get High | Statement: [Styles P, notableWork, I Get High]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: I Get High
Context triple: [Styles P, notableWork, I Get High]
  • A. So High
    "So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
  • B. So High
    "So High" is a creative work associated with DeVon Harris, likely recognized as one of his most prominent or influential projects.
  • C. Junkies on a High
    "Junkies on a High" is a song by Green Day from their 2020 album "Father of All Motherfuckers," blending garage rock and alternative punk influences.
  • D. Let Me Roll It
    "Let Me Roll It" is a bluesy rock song by Paul McCartney and Wings, noted for its raw guitar riff and vocal style reminiscent of John Lennon.
  • E. Give Me Novacaine
    "Give Me Novacaine" is a song by American punk rock band Green Day from their rock opera album *American Idiot*, blending melodic punk with themes of emotional numbness and escape.
  • 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: I Get High
Triple: [Styles P, notableWork, I Get High]
Generated description
"I Get High" is a popular hip-hop single by rapper Styles P, best known for its smooth, soulful production and its candid celebration of marijuana use.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: I Get High
Target entity description: "I Get High" is a popular hip-hop single by rapper Styles P, best known for its smooth, soulful production and its candid celebration of marijuana use.
  • A. So High
    "So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
  • B. So High
    "So High" is a creative work associated with DeVon Harris, likely recognized as one of his most prominent or influential projects.
  • C. Junkies on a High
    "Junkies on a High" is a song by Green Day from their 2020 album "Father of All Motherfuckers," blending garage rock and alternative punk influences.
  • D. Let Me Roll It
    "Let Me Roll It" is a bluesy rock song by Paul McCartney and Wings, noted for its raw guitar riff and vocal style reminiscent of John Lennon.
  • E. Give Me Novacaine
    "Give Me Novacaine" is a song by American punk rock band Green Day from their rock opera album *American Idiot*, blending melodic punk with themes of emotional numbness and escape.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda4c8d34819094f5e4cbc5a4bb9b completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf7446f08190b5e073278725d1f4 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb01c248c81909af7358da96aa588 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0ae71888190ab0675b7897f1589 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.