Triple
T22803369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Capture |
E564462
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Cavan Clerkin
Cavan Clerkin is a British actor and writer known for his character roles in television series such as The Capture, The Last Kingdom, and Babylon.
|
E1559162
|
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: Cavan Clerkin | Statement: [The Capture, castMember, Cavan Clerkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cavan Clerkin Context triple: [The Capture, castMember, Cavan Clerkin]
-
A.
Owen Clarke
Owen Clarke is a British musician best known as a member of the electronic music band Hot Chip.
-
B.
Kieran Fagan
Kieran Fagan is an individual notable enough to be recognized as a prominent bearer of the surname Fagan.
-
C.
Conor Clarke
Conor Clarke is known as the son of Northern Irish professional golfer Darren Clarke.
-
D.
Aidan Devine
Aidan Devine is a Canadian actor known for his work in film and television, often appearing in genre and character-driven roles.
-
E.
Brendan McLoughlin
Brendan McLoughlin is a former New York City police officer who gained public attention through his marriage to country music star Miranda Lambert.
- 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: Cavan Clerkin Triple: [The Capture, castMember, Cavan Clerkin]
Generated description
Cavan Clerkin is a British actor and writer known for his character roles in television series such as The Capture, The Last Kingdom, and Babylon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cavan Clerkin Target entity description: Cavan Clerkin is a British actor and writer known for his character roles in television series such as The Capture, The Last Kingdom, and Babylon.
-
A.
Owen Clarke
Owen Clarke is a British musician best known as a member of the electronic music band Hot Chip.
-
B.
Kieran Fagan
Kieran Fagan is an individual notable enough to be recognized as a prominent bearer of the surname Fagan.
-
C.
Conor Clarke
Conor Clarke is known as the son of Northern Irish professional golfer Darren Clarke.
-
D.
Aidan Devine
Aidan Devine is a Canadian actor known for his work in film and television, often appearing in genre and character-driven roles.
-
E.
Brendan McLoughlin
Brendan McLoughlin is a former New York City police officer who gained public attention through his marriage to country music star Miranda Lambert.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5a7c2881909a7aaacddd09f00c |
completed | April 29, 2026, 3:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae7cb01881908513e1b35a766fce |
completed | May 19, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a0bb0011dfc8190abb4b0dc9dd8c018 |
completed | May 19, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bb0944ba48190974df20fc1f1b8c8 |
completed | May 19, 2026, 12:36 a.m. |
Created at: April 17, 2026, 3:31 p.m.