Triple
T3378798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casanova (2005 TV serial) |
E71129
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object |
Jeremy Swift
Jeremy Swift is an English actor known for his character roles in film and television, including appearances in projects like "Downton Abbey" and "Ted Lasso."
|
E352392
|
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: Jeremy Swift | Statement: [Casanova (2005 TV serial), starred, Jeremy Swift]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Swift Context triple: [Casanova (2005 TV serial), starred, Jeremy Swift]
-
A.
Mark Swift
Mark Swift is a film producer best known for his work on animated and genre movies, including "Captain Underpants: The First Epic Movie."
-
B.
Clive Swift
Clive Swift was a British actor best known for his television role as Richard Bucket in the sitcom "Keeping Up Appearances" and for numerous stage and screen performances.
-
C.
Jeremy Theobald
Jeremy Theobald is a British actor best known for starring in Christopher Nolan’s debut feature film "Following."
-
D.
Jack Feore
Jack Feore is the son of Canadian-American actor Colm Feore.
-
E.
Nick Swinmurn
Nick Swinmurn is an American entrepreneur best known for creating the online shoe and clothing retailer Zappos, which became a pioneering force in e-commerce and customer service.
- 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: Jeremy Swift Triple: [Casanova (2005 TV serial), starred, Jeremy Swift]
Generated description
Jeremy Swift is an English actor known for his character roles in film and television, including appearances in projects like "Downton Abbey" and "Ted Lasso."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeremy Swift Target entity description: Jeremy Swift is an English actor known for his character roles in film and television, including appearances in projects like "Downton Abbey" and "Ted Lasso."
-
A.
Mark Swift
Mark Swift is a film producer best known for his work on animated and genre movies, including "Captain Underpants: The First Epic Movie."
-
B.
Clive Swift
Clive Swift was a British actor best known for his television role as Richard Bucket in the sitcom "Keeping Up Appearances" and for numerous stage and screen performances.
-
C.
Jeremy Theobald
Jeremy Theobald is a British actor best known for starring in Christopher Nolan’s debut feature film "Following."
-
D.
Jack Feore
Jack Feore is the son of Canadian-American actor Colm Feore.
-
E.
Nick Swinmurn
Nick Swinmurn is an American entrepreneur best known for creating the online shoe and clothing retailer Zappos, which became a pioneering force in e-commerce and customer service.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2eacb5c81908071a1dacc9a897a |
completed | March 8, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3344c0698819082d856d8be7f2c18 |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b334e661ac8190b8ff974c9568caf8 |
completed | March 12, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3354fe7748190a0324551d1a8bc1b |
completed | March 12, 2026, 9:51 p.m. |
Created at: March 8, 2026, 3:14 p.m.