Triple
T23153156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ReGenesis |
E578371
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Greg Spottiswood
Greg Spottiswood is a Canadian television writer and producer known for creating and showrunning several drama series.
|
E1592047
|
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: Greg Spottiswood | Statement: [ReGenesis, creator, Greg Spottiswood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Spottiswood Context triple: [ReGenesis, creator, Greg Spottiswood]
-
A.
John Gilleland
John Gilleland was a 19th-century American inventor best known for creating the experimental Civil War-era Double-Barreled Cannon in Athens, Georgia.
-
B.
Mark Stothert
Mark Stothert is a music producer best known for his work with the artist Edie.
-
C.
George Burditt
George Burditt was an American television writer and producer best known for his work on popular sitcoms such as "Three's Company" and its spin-offs.
-
D.
Dan Woolsey
Dan Woolsey is an entrepreneur and media professional best known as a founder of the African American–focused news and entertainment platform TheGrio.
-
E.
George Davenport
George Davenport was a 19th-century American fur trader and early settler whose influence on the region led to the city of Davenport, Iowa being named in his honor.
- 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: Greg Spottiswood Triple: [ReGenesis, creator, Greg Spottiswood]
Generated description
Greg Spottiswood is a Canadian television writer and producer known for creating and showrunning several drama series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greg Spottiswood Target entity description: Greg Spottiswood is a Canadian television writer and producer known for creating and showrunning several drama series.
-
A.
John Gilleland
John Gilleland was a 19th-century American inventor best known for creating the experimental Civil War-era Double-Barreled Cannon in Athens, Georgia.
-
B.
Mark Stothert
Mark Stothert is a music producer best known for his work with the artist Edie.
-
C.
George Burditt
George Burditt was an American television writer and producer best known for his work on popular sitcoms such as "Three's Company" and its spin-offs.
-
D.
Dan Woolsey
Dan Woolsey is an entrepreneur and media professional best known as a founder of the African American–focused news and entertainment platform TheGrio.
-
E.
George Davenport
George Davenport was a 19th-century American fur trader and early settler whose influence on the region led to the city of Davenport, Iowa being named in his honor.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efaa1fc81908fb1987dbf732f46 |
completed | April 29, 2026, 4:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf276ac0819085dc4caac7dd8b0c |
completed | May 19, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_6a0d7213f9508190a8884846e19079e3 |
completed | May 20, 2026, 8:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0d72ad1b148190bbe5f65e84ac2837 |
completed | May 20, 2026, 8:37 a.m. |
Created at: April 17, 2026, 4:01 p.m.