Triple
T17239019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roeg Sutherland |
E418438
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Angus Sutherland |
E418437
|
NE FINISHED |
How this triple was built (2 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: Angus Sutherland | Statement: [Roeg Sutherland, sibling, Angus Sutherland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angus Sutherland Context triple: [Roeg Sutherland, sibling, Angus Sutherland]
-
A.
Angus Sutherland
chosen
Angus Sutherland is a Canadian actor and producer, known both for his work in film and television and as a member of the Sutherland acting family.
-
B.
Angus MacKay
Angus MacKay was a British character actor best known to science fiction fans for his roles in the classic Doctor Who television series.
-
C.
Moray Callum
Moray Callum is a Scottish automotive designer best known for his influential work at Ford, where he helped shape the design language of numerous key models in the 2000s and 2010s.
-
D.
Alastair Duncan
Alastair Duncan is a Scottish actor and voice actor known for his work in film, television, and video games.
-
E.
Angus McGill
Angus McGill was a British journalist and humorist known for his witty newspaper columns and light comic writing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dfdc8688190aceb223c19a48781 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180ca18c081909ef80a4056b3dbf7 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:39 a.m.