Triple
T7962531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don't Quit Your Day Job! |
E184903
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
M. Brown
M. Brown is a music producer known for working on the album "Don't Quit Your Day Job!".
|
E703278
|
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: M. Brown | Statement: [Don't Quit Your Day Job!, producer, M. Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M. Brown Context triple: [Don't Quit Your Day Job!, producer, M. Brown]
-
A.
Michael Henry Brown
Michael Henry Brown is a screenwriter best known for his work on the crime thriller film "In Too Deep."
-
B.
R. M. Brown
R. M. Brown is an astronomer known for work on trans-Neptunian objects, including the identification of members of the Haumea family.
-
C.
P. R. Brown
P. R. Brown is an American graphic designer and music video director known for his visually distinctive work with major recording artists across rock and pop music.
-
D.
Hobart Brown
Hobart Brown was an American artist and sculptor best known as the eccentric founder of the human-powered art race tradition that became the Kinetic Grand Championship.
-
E.
Bille Brown
Bille Brown was an Australian actor and playwright known for his work in theatre, film, and television, including roles in international productions.
- 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: M. Brown Triple: [Don't Quit Your Day Job!, producer, M. Brown]
Generated description
M. Brown is a music producer known for working on the album "Don't Quit Your Day Job!".
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M. Brown Target entity description: M. Brown is a music producer known for working on the album "Don't Quit Your Day Job!".
-
A.
Michael Henry Brown
Michael Henry Brown is a screenwriter best known for his work on the crime thriller film "In Too Deep."
-
B.
R. M. Brown
R. M. Brown is an astronomer known for work on trans-Neptunian objects, including the identification of members of the Haumea family.
-
C.
P. R. Brown
P. R. Brown is an American graphic designer and music video director known for his visually distinctive work with major recording artists across rock and pop music.
-
D.
Hobart Brown
Hobart Brown was an American artist and sculptor best known as the eccentric founder of the human-powered art race tradition that became the Kinetic Grand Championship.
-
E.
Bille Brown
Bille Brown was an Australian actor and playwright known for his work in theatre, film, and television, including roles in international productions.
- 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.