Triple
T12015709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Up Close |
E286017
|
entity |
| Predicate | hasHost |
P2592
|
FINISHED |
| Object |
Gary Miller
Gary Miller is an American sportscaster and television host known for his work on sports programming and talk shows.
|
E960716
|
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: Gary Miller | Statement: [Up Close, hasHost, Gary Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gary Miller Context triple: [Up Close, hasHost, Gary Miller]
-
A.
Jeff McIlwain
Jeff McIlwain is an electronic music producer and film composer best known for his work under the moniker Lusine, blending ambient, techno, and experimental sounds.
-
B.
Charlie Sitton
Charlie Sitton is a former American college basketball standout best known for his All-American career at Oregon State University in the early 1980s.
-
C.
Forrest Gregg
Forrest Gregg was a Hall of Fame offensive tackle and successful NFL head coach, best known for his championship years with the Green Bay Packers under Vince Lombardi.
-
D.
Tex Johnson
Tex Johnson is a musician known for being a member of the blues-rock supergroup Derek and the Dominos.
-
E.
Gopher Smith
Gopher Smith is a bumbling yet lovable ship’s purser on the classic American television series "The Love Boat."
- 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: Gary Miller Triple: [Up Close, hasHost, Gary Miller]
Generated description
Gary Miller is an American sportscaster and television host known for his work on sports programming and talk shows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gary Miller Target entity description: Gary Miller is an American sportscaster and television host known for his work on sports programming and talk shows.
-
A.
Jeff McIlwain
Jeff McIlwain is an electronic music producer and film composer best known for his work under the moniker Lusine, blending ambient, techno, and experimental sounds.
-
B.
Charlie Sitton
Charlie Sitton is a former American college basketball standout best known for his All-American career at Oregon State University in the early 1980s.
-
C.
Forrest Gregg
Forrest Gregg was a Hall of Fame offensive tackle and successful NFL head coach, best known for his championship years with the Green Bay Packers under Vince Lombardi.
-
D.
Tex Johnson
Tex Johnson is a musician known for being a member of the blues-rock supergroup Derek and the Dominos.
-
E.
Gopher Smith
Gopher Smith is a bumbling yet lovable ship’s purser on the classic American television series "The Love Boat."
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d9b17881908894be80d7c1b64e |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b4535f48190ac5b2cabb4daf4af |
completed | May 1, 2026, 11:15 a.m. |
| NEDg | Description generation | batch_69f490cb9328819095481a4d0fb0c625 |
completed | May 1, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f495cc50908190aab4f8ca64c66ef3 |
completed | May 1, 2026, noon |
Created at: April 8, 2026, 9:47 p.m.