Triple
T14276276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borusa |
E353923
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
John Arnatt
John Arnatt was a British character actor known for his extensive work in film and television, including a notable role in the long-running science fiction series "Doctor Who."
|
E1089134
|
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: John Arnatt | Statement: [Borusa, portrayedBy, John Arnatt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Arnatt Context triple: [Borusa, portrayedBy, John Arnatt]
-
A.
Glyn Jessop
Glyn Jessop is a former English cricketer who played at the first-class level.
-
B.
Chris Ord
Chris Ord is a television writer and producer best known for co-creating the USA Network spy drama series "Covert Affairs."
-
C.
Adrian Sherwood
Adrian Sherwood is a British record producer and dub innovator known for his experimental, heavily remixed sound and collaborations across reggae, industrial, and electronic music.
-
D.
Alan Emmott
Alan Emmott was a Canadian municipal politician who served as mayor of Burnaby, British Columbia.
-
E.
Nigel Harman
Nigel Harman is an English actor best known for his roles in television series like EastEnders and for his award-winning stage performances in West End musicals.
- 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: John Arnatt Triple: [Borusa, portrayedBy, John Arnatt]
Generated description
John Arnatt was a British character actor known for his extensive work in film and television, including a notable role in the long-running science fiction series "Doctor Who."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Arnatt Target entity description: John Arnatt was a British character actor known for his extensive work in film and television, including a notable role in the long-running science fiction series "Doctor Who."
-
A.
Glyn Jessop
Glyn Jessop is a former English cricketer who played at the first-class level.
-
B.
Chris Ord
Chris Ord is a television writer and producer best known for co-creating the USA Network spy drama series "Covert Affairs."
-
C.
Adrian Sherwood
Adrian Sherwood is a British record producer and dub innovator known for his experimental, heavily remixed sound and collaborations across reggae, industrial, and electronic music.
-
D.
Alan Emmott
Alan Emmott was a Canadian municipal politician who served as mayor of Burnaby, British Columbia.
-
E.
Nigel Harman
Nigel Harman is an English actor best known for his roles in television series like EastEnders and for his award-winning stage performances in West End musicals.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6583f0ec81909ebfc7a2c6351ff8 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326f62b4819084b1e984678991ae |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd33e6e930819088c7479dc49c1bcd |
completed | May 8, 2026, 12:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3453f7cc81909b183a8df2f5159f |
completed | May 8, 2026, 12:54 a.m. |
Created at: April 10, 2026, 1:10 a.m.