Triple

T19366502
Position Surface form Disambiguated ID Type / Status
Subject Sugarland E484416 entity
Predicate notableWork P4 FINISHED
Object Settlin'
"Settlin'" is a country music song by the American duo Sugarland, known for its upbeat tempo and empowering lyrics about independence and self-determination.
 E1372956 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: Settlin' | Statement: [Sugarland, notableWork, Settlin']
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Settlin'
Context triple: [Sugarland, notableWork, Settlin']
  • A. Settle Down
    "Settle Down" is a song that served as the musical basis for the classic Western tune "My Rifle, My Pony and Me."
  • B. Settle Down
    "Settle Down" is a 2012 reggae-influenced pop song by American band No Doubt, released as the lead single from their album "Push and Shove."
  • C. Boundin'
    Boundin' is a Pixar animated short film featuring a dancing sheep who learns to embrace resilience and self-confidence after losing his wool.
  • D. Searchin'
    "Searchin'" is a classic 1957 rock and roll and R&B song written by Jerry Leiber and Mike Stoller, best known for its hit recording by The Coasters.
  • E. Coastin'
    "Coastin'" is an R&B song by American singer-songwriter Victoria Monét, known for its smooth, summery groove and sensual, laid-back vibe.
  • 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: Settlin'
Triple: [Sugarland, notableWork, Settlin']
Generated description
"Settlin'" is a country music song by the American duo Sugarland, known for its upbeat tempo and empowering lyrics about independence and self-determination.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Settlin'
Target entity description: "Settlin'" is a country music song by the American duo Sugarland, known for its upbeat tempo and empowering lyrics about independence and self-determination.
  • A. Settle Down
    "Settle Down" is a song that served as the musical basis for the classic Western tune "My Rifle, My Pony and Me."
  • B. Settle Down
    "Settle Down" is a 2012 reggae-influenced pop song by American band No Doubt, released as the lead single from their album "Push and Shove."
  • C. Boundin'
    Boundin' is a Pixar animated short film featuring a dancing sheep who learns to embrace resilience and self-confidence after losing his wool.
  • D. Searchin'
    "Searchin'" is a classic 1957 rock and roll and R&B song written by Jerry Leiber and Mike Stoller, best known for its hit recording by The Coasters.
  • E. Coastin'
    "Coastin'" is an R&B song by American singer-songwriter Victoria Monét, known for its smooth, summery groove and sensual, laid-back vibe.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619ac26d4819095836d737b629cf1 completed April 20, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07241416c48190ae73fef73c24b677 completed May 15, 2026, 1:48 p.m.
NEDg Description generation batch_6a0725b012048190acd3d1d2fd2fada5 completed May 15, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0726c6a8ac8190af3149f7111ea3ea completed May 15, 2026, 1:59 p.m.
Created at: April 10, 2026, 1:35 p.m.