Triple
T14854454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | So What (music video) |
E349315
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Randy Brewer
Randy Brewer is a music video producer known for his work on projects such as the video for Miles Davis’s “So What.”
|
E1123565
|
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: Randy Brewer | Statement: [So What (music video), producer, Randy Brewer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randy Brewer Context triple: [So What (music video), producer, Randy Brewer]
-
A.
Ron Brewer
Ron Brewer is a former American basketball player best known as a star guard at the University of Arkansas who went on to play in the NBA.
-
B.
Randy Feenstra
Randy Feenstra is a Republican politician and U.S. Representative from Iowa known for his conservative positions on agriculture, fiscal policy, and social issues.
-
C.
Randy Bricker
Randy Bricker is a film editor known for his work on horror and genre films, including Texas Chainsaw 3D.
-
D.
Bernie Brewer
Bernie Brewer is the cheerful, mustachioed mascot of the Milwaukee Brewers known for his energetic celebrations at the team’s home games.
-
E.
Don Brautigam
Don Brautigam was an American illustrator best known for his striking, realistic cover art for horror and thriller novels, including works by Stephen King.
- 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: Randy Brewer Triple: [So What (music video), producer, Randy Brewer]
Generated description
Randy Brewer is a music video producer known for his work on projects such as the video for Miles Davis’s “So What.”
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Randy Brewer Target entity description: Randy Brewer is a music video producer known for his work on projects such as the video for Miles Davis’s “So What.”
-
A.
Ron Brewer
Ron Brewer is a former American basketball player best known as a star guard at the University of Arkansas who went on to play in the NBA.
-
B.
Randy Feenstra
Randy Feenstra is a Republican politician and U.S. Representative from Iowa known for his conservative positions on agriculture, fiscal policy, and social issues.
-
C.
Randy Bricker
Randy Bricker is a film editor known for his work on horror and genre films, including Texas Chainsaw 3D.
-
D.
Bernie Brewer
Bernie Brewer is the cheerful, mustachioed mascot of the Milwaukee Brewers known for his energetic celebrations at the team’s home games.
-
E.
Don Brautigam
Don Brautigam was an American illustrator best known for his striking, realistic cover art for horror and thriller novels, including works by Stephen King.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe65087708819084f51a043e5361e9 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe66218cb88190b8c86b359abaa14c |
completed | May 8, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe66de57cc8190935d764d399f56f5 |
completed | May 8, 2026, 10:42 p.m. |
Created at: April 10, 2026, 1:54 a.m.