Triple
T13724071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cockiness (Love It) |
E329108
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
J-Bo
J-Bo is a music producer known for his work on the track "Cockiness (Love It)."
|
E1058411
|
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: J-Bo | Statement: [Cockiness (Love It), producer, J-Bo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J-Bo Context triple: [Cockiness (Love It), producer, J-Bo]
-
A.
JBO
JBO is a British dance music record label known for releasing influential electronic and club-oriented tracks in the 1990s and 2000s.
-
B.
Z-Bo
Z-Bo is the nickname of Zach Randolph, a former NBA All-Star power forward best known for his rugged low-post scoring and rebounding, particularly with the Memphis Grizzlies.
-
C.
J-Hen
J-Hen is a music producer and/or artist associated with the hip hop and R&B production duo Tha Bizness.
-
D.
Jimbo
Jimbo is a character from the Australian short film "I Love Sarah Jane," which follows a group of kids navigating adolescence amid a zombie apocalypse.
-
E.
Jimbo
Jimbo is an American college football coach best known for leading Florida State University to a national championship and later coaching at Texas A&M.
- 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: J-Bo Triple: [Cockiness (Love It), producer, J-Bo]
Generated description
J-Bo is a music producer known for his work on the track "Cockiness (Love It)."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: J-Bo Target entity description: J-Bo is a music producer known for his work on the track "Cockiness (Love It)."
-
A.
JBO
JBO is a British dance music record label known for releasing influential electronic and club-oriented tracks in the 1990s and 2000s.
-
B.
Z-Bo
Z-Bo is the nickname of Zach Randolph, a former NBA All-Star power forward best known for his rugged low-post scoring and rebounding, particularly with the Memphis Grizzlies.
-
C.
J-Hen
J-Hen is a music producer and/or artist associated with the hip hop and R&B production duo Tha Bizness.
-
D.
Jimbo
Jimbo is a character from the Australian short film "I Love Sarah Jane," which follows a group of kids navigating adolescence amid a zombie apocalypse.
-
E.
Jimbo
Jimbo is an American college football coach best known for leading Florida State University to a national championship and later coaching at Texas A&M.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f52e748190b49c34e10ab8ac34 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d60cd048190b20c4e6f49f816a6 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e9e6ff88190b031fb1403cacabc |
completed | May 3, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a2d6e7ec81908a4cbc324e793c24 |
completed | May 3, 2026, 7:32 p.m. |
Created at: April 9, 2026, 9:55 p.m.