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.