Triple

T10964148
Position Surface form Disambiguated ID Type / Status
Subject Kill the Lights E259051 entity
Predicate sixthSingle P96876 FINISHED
Object Fast
"Fast" is a country song by Luke Bryan that reflects on the fleeting nature of time, relationships, and life’s milestones.
 E897267 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: Fast | Statement: [Kill the Lights, sixthSingle, Fast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fast
Context triple: [Kill the Lights, sixthSingle, Fast]
  • A. Fast
    Fast is a surname most notably associated with American novelist and screenwriter Howard Fast, known for his historical and political works.
  • B. FAST
    FAST is a U.S. federal law that authorizes long-term funding and policy for the nation’s surface transportation infrastructure, including highways, transit, and rail.
  • C. FAST
    FAST is the public bus transit system serving the Fairfield and Suisun City area in Solano County, California.
  • D. Quick
    Quick is a character associated with the boxer and entertainer Sugar Ray, likely appearing in media or promotional contexts connected to his persona.
  • E. Quick
    Quick is the fast-talking, street-smart protagonist played by Eddie Murphy in the 1989 crime-comedy film "Harlem Nights."
  • 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: Fast
Triple: [Kill the Lights, sixthSingle, Fast]
Generated description
"Fast" is a country song by Luke Bryan that reflects on the fleeting nature of time, relationships, and life’s milestones.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fast
Target entity description: "Fast" is a country song by Luke Bryan that reflects on the fleeting nature of time, relationships, and life’s milestones.
  • A. Fast
    Fast is a surname most notably associated with American novelist and screenwriter Howard Fast, known for his historical and political works.
  • B. FAST
    FAST is a U.S. federal law that authorizes long-term funding and policy for the nation’s surface transportation infrastructure, including highways, transit, and rail.
  • C. FAST
    FAST is the public bus transit system serving the Fairfield and Suisun City area in Solano County, California.
  • D. Quick
    Quick is a character associated with the boxer and entertainer Sugar Ray, likely appearing in media or promotional contexts connected to his persona.
  • E. Quick
    Quick is the fast-talking, street-smart protagonist played by Eddie Murphy in the 1989 crime-comedy film "Harlem Nights."
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77147f7108190a3b68ba1dd1c130e completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d77277108190979f1b1edeac8964 completed April 18, 2026, 12:59 a.m.
NEDg Description generation batch_69e2ff1ffb8c8190ba97f3c2e3c8c601 completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e3261cc4f48190ba0e5645f37cd4b5 completed April 18, 2026, 6:35 a.m.
Created at: April 8, 2026, 9:23 p.m.