Triple

T9878678
Position Surface form Disambiguated ID Type / Status
Subject Willie Jones E240145 entity
Predicate notableWork P4 FINISHED
Object “Get Low, Get High”
“Get Low, Get High” is a country-rap song by American artist Willie Jones that blends hip-hop beats with country storytelling and party themes.
E826595 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: “Get Low, Get High” | Statement: [Willie Jones, notableWork, “Get Low, Get High”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Get Low, Get High”
Context triple: [Willie Jones, notableWork, “Get Low, Get High”]
  • A. Get Low
    "Get Low" is a 2002 crunk anthem by Lil Jon & the East Side Boyz featuring the Ying Yang Twins that became a major club hit and a defining track of early-2000s Southern hip hop.
  • B. How Low
    "How Low" is a popular hip-hop single by American rapper Ludacris, known for its catchy hook and heavy club-oriented production.
  • C. Riding the Low
    Riding the Low is an English indie rock band fronted by actor and filmmaker Paddy Considine.
  • D. "Higher Than This"
    "Higher Than This" is a soulful R&B song by American singer Ledisi that showcases her powerful vocals and uplifting, inspirational style.
  • E. High and Low
    High and Low is a 1963 Japanese crime thriller film by Akira Kurosawa that explores class disparity and moral conflict through a tense kidnapping drama.
  • 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: “Get Low, Get High”
Triple: [Willie Jones, notableWork, “Get Low, Get High”]
Generated description
“Get Low, Get High” is a country-rap song by American artist Willie Jones that blends hip-hop beats with country storytelling and party themes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: “Get Low, Get High”
Target entity description: “Get Low, Get High” is a country-rap song by American artist Willie Jones that blends hip-hop beats with country storytelling and party themes.
  • A. Get Low
    "Get Low" is a 2002 crunk anthem by Lil Jon & the East Side Boyz featuring the Ying Yang Twins that became a major club hit and a defining track of early-2000s Southern hip hop.
  • B. How Low
    "How Low" is a popular hip-hop single by American rapper Ludacris, known for its catchy hook and heavy club-oriented production.
  • C. Riding the Low
    Riding the Low is an English indie rock band fronted by actor and filmmaker Paddy Considine.
  • D. "Higher Than This"
    "Higher Than This" is a soulful R&B song by American singer Ledisi that showcases her powerful vocals and uplifting, inspirational style.
  • E. High and Low
    High and Low is a 1963 Japanese crime thriller film by Akira Kurosawa that explores class disparity and moral conflict through a tense kidnapping drama.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb4135c108190b3330e929509699d completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e480ead08190992eb43ea3eac38b completed April 5, 2026, 4:26 a.m.
NEDg Description generation batch_69d1e5d0da7081908e14fe4bc6623ea5 completed April 5, 2026, 4:32 a.m.
NED2 Entity disambiguation (via description) batch_69d1e6af89f88190abe63f8172182f58 completed April 5, 2026, 4:35 a.m.
Created at: March 30, 2026, 8:37 p.m.