Triple

T16207516
Position Surface form Disambiguated ID Type / Status
Subject Pop Smoke E393365 entity
Predicate notableWork P4 FINISHED
Object War
"War" is a drill-rap track by Pop Smoke that showcases his gritty vocal style and dark, aggressive production.
 E1200094 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: War | Statement: [Pop Smoke, notableWork, War]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: War
Context triple: [Pop Smoke, notableWork, War]
  • A. War
    War is a small town in McDowell County, West Virginia, known as one of the southernmost communities in the state and for its history as a coal mining town.
  • B. War
    "War" is a musical track from the film score of James Cameron's 2009 science fiction epic "Avatar," composed by James Horner.
  • C. War
    "War" is a politically charged reggae song by Bob Marley & The Wailers, best known for its lyrics adapted from a speech by Ethiopian Emperor Haile Selassie I calling for global peace and equality.
  • D. War
    "War" is a nonfiction book by Sebastian Junger that chronicles the experiences of American soldiers in Afghanistan’s Korengal Valley, exploring the psychology, brotherhood, and brutality of modern combat.
  • E. War
    War is an American funk and soul band best known for their 1970s hits blending rock, jazz, Latin, and R&B influences, including songs like "Low Rider" and "Why Can't We Be Friends?".
  • 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: War
Triple: [Pop Smoke, notableWork, War]
Generated description
"War" is a drill-rap track by Pop Smoke that showcases his gritty vocal style and dark, aggressive production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: War
Target entity description: "War" is a drill-rap track by Pop Smoke that showcases his gritty vocal style and dark, aggressive production.
  • A. War
    "War" is a politically charged reggae song by Bob Marley & The Wailers, best known for its lyrics adapted from a speech by Ethiopian Emperor Haile Selassie I calling for global peace and equality.
  • B. War
    "War" is a 1970 protest soul song by Edwin Starr, famous for its powerful anti-war message and the iconic refrain "War, what is it good for? Absolutely nothing!"
  • C. War
    War is an American funk and soul band best known for their 1970s hits blending rock, jazz, Latin, and R&B influences, including songs like "Low Rider" and "Why Can't We Be Friends?".
  • D. War
    War is U2’s politically charged 1983 rock album known for its anthemic songs and focus on themes of conflict and social justice.
  • E. War
    "War" is a musical track from the film score of James Cameron's 2009 science fiction epic "Avatar," composed by James Horner.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227101a3c819095ef40e50bf66433 completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007916d3481909d475f1661d80e77 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a00083d7b54819089dbab566d55d638 completed May 10, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_6a0008c7430c81908b9620369c609ad8 completed May 10, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:03 a.m.