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.