Triple

T7962545
Position Surface form Disambiguated ID Type / Status
Subject Don't Quit Your Day Job! E184903 entity
Predicate hasPart P35 FINISHED
Object On Break
"On Break" is a track featured on the comedy-rap album "Don't Quit Your Day Job!" by Kanye West.
E703285 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: On Break | Statement: [Don't Quit Your Day Job!, hasPart, On Break]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: On Break
Context triple: [Don't Quit Your Day Job!, hasPart, On Break]
  • A. Make and Break
    Make and Break is a satirical stage play by Michael Frayn that explores corporate culture and moral compromise through the story of a driven businessman at a trade fair.
  • B. Don’t Break It
    Don’t Break It is a track featured on the jazz standard album "All of Me."
  • C. The Break-Up
    The Break-Up is a 2006 romantic comedy-drama film starring Jennifer Aniston and Vince Vaughn as a couple navigating a messy split while still sharing their condo.
  • D. Clean Break
    Clean Break is a 2008 crime novel by Scottish author Val McDermid featuring journalist Lindsay Gordon, which served as the basis for the Danish TV series "The Killing."
  • E. Breakdown
    "Breakdown" is a 1976 rock song by Tom Petty and the Heartbreakers, known for its moody groove, sparse arrangement, and status as one of the band's early signature tracks.
  • 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: On Break
Triple: [Don't Quit Your Day Job!, hasPart, On Break]
Generated description
"On Break" is a track featured on the comedy-rap album "Don't Quit Your Day Job!" by Kanye West.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: On Break
Target entity description: "On Break" is a track featured on the comedy-rap album "Don't Quit Your Day Job!" by Kanye West.
  • A. Make and Break
    Make and Break is a satirical stage play by Michael Frayn that explores corporate culture and moral compromise through the story of a driven businessman at a trade fair.
  • B. Don’t Break It
    Don’t Break It is a track featured on the jazz standard album "All of Me."
  • C. The Break-Up
    The Break-Up is a 2006 romantic comedy-drama film starring Jennifer Aniston and Vince Vaughn as a couple navigating a messy split while still sharing their condo.
  • D. Clean Break
    Clean Break is a 2008 crime novel by Scottish author Val McDermid featuring journalist Lindsay Gordon, which served as the basis for the Danish TV series "The Killing."
  • E. Breakdown
    "Breakdown" is a 1976 rock song by Tom Petty and the Heartbreakers, known for its moody groove, sparse arrangement, and status as one of the band's early signature tracks.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b9df72081908d33925da10192e9 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe08c36f48190b005c6c92ad813d0 completed March 31, 2026, 2:56 p.m.
NEDg Description generation batch_69cbe43b20148190ba9a4dd00a9f5862 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc3307ebd481908c1ec4b0be270a77 completed March 31, 2026, 8:48 p.m.
Created at: March 30, 2026, 5:12 p.m.