Triple
T10426916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bakersfield sound |
E245811
|
entity |
| Predicate | notableArtist |
P601
|
FINISHED |
| Object |
Fuzzy Owen
Fuzzy Owen was an American country musician, songwriter, and producer closely associated with the Bakersfield sound and known for his work with artists like Merle Haggard.
|
E862613
|
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: Fuzzy Owen | Statement: [Bakersfield sound, notableArtist, Fuzzy Owen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuzzy Owen Context triple: [Bakersfield sound, notableArtist, Fuzzy Owen]
-
A.
Fuzzy Knight
Fuzzy Knight was an American character actor best known for his comic sidekick roles in Western films of the 1930s and 1940s.
-
B.
Fazy
Fazy is a Swiss surname most notably borne by James Fazy, a 19th-century politician from Geneva.
-
C.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
-
D.
Lud Foe
Lud Foe is an American drill rapper from Chicago known for his aggressive delivery and breakout tracks like "Cuttin Up."
-
E.
Flecher
Flecher is a variant spelling of the surname Fletcher, which traditionally refers to a maker or seller of arrows.
- 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: Fuzzy Owen Triple: [Bakersfield sound, notableArtist, Fuzzy Owen]
Generated description
Fuzzy Owen was an American country musician, songwriter, and producer closely associated with the Bakersfield sound and known for his work with artists like Merle Haggard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fuzzy Owen Target entity description: Fuzzy Owen was an American country musician, songwriter, and producer closely associated with the Bakersfield sound and known for his work with artists like Merle Haggard.
-
A.
Fuzzy Knight
Fuzzy Knight was an American character actor best known for his comic sidekick roles in Western films of the 1930s and 1940s.
-
B.
Fazy
Fazy is a Swiss surname most notably borne by James Fazy, a 19th-century politician from Geneva.
-
C.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
-
D.
Lud Foe
Lud Foe is an American drill rapper from Chicago known for his aggressive delivery and breakout tracks like "Cuttin Up."
-
E.
Flecher
Flecher is a variant spelling of the surname Fletcher, which traditionally refers to a maker or seller of arrows.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea498ab08190b451c0b257c0711b |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc2b50b48190b1d5b29d19a240c2 |
completed | April 9, 2026, 7:21 p.m. |
| NEDg | Description generation | batch_69d822d76f3481909f7c04be19414b14 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859fd8f0c8190b0fec880e1180e50 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 6, 2026, 12:12 p.m.