Triple
T17840993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Sutherland |
E445523
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Rachel Sutherland |
—
|
NE NERFINISHED |
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: Rachel Sutherland | Statement: [Donald Sutherland, child, Rachel Sutherland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Sutherland Context triple: [Donald Sutherland, child, Rachel Sutherland]
-
A.
Rachel Sutherland
chosen
Rachel Sutherland is a Canadian television producer and production manager, known for her work on various TV series and as the daughter of actor Donald Sutherland.
-
B.
Sarah Sutherland
Sarah Sutherland is an American actress best known for her role as Catherine Meyer on the HBO political satire series "Veep."
-
C.
Elizabeth Sutherland
Elizabeth Sutherland was a Scottish noblewoman of the late medieval period, known for her marriage into the powerful Lordship of the Isles through her union with John of Islay, Earl of Ross.
-
D.
Sarah Sweeney
Sarah Sweeney is an actress known for her role in the historical drama television series "The Bastard Executioner."
-
E.
Rebecca Huntley
Rebecca Huntley is a film producer best known for her work on the animated feature "The Bad Guys."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d2b2ea08190926ec0cf01285833 |
completed | April 19, 2026, 8:07 a.m. |
Created at: April 10, 2026, 10:16 a.m.