Triple
T21292529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katherine Waterston |
E524831
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Graham Waterston |
—
|
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: Graham Waterston | Statement: [Katherine Waterston, sibling, Graham Waterston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graham Waterston Context triple: [Katherine Waterston, sibling, Graham Waterston]
-
A.
Graham Waterston
chosen
Graham Waterston is an American filmmaker and the son of acclaimed actor Sam Waterston.
-
B.
David Gwillim
David Gwillim is a British actor known for his work in television and film, particularly in period dramas and literary adaptations.
-
C.
Ian M. Stewart
Ian M. Stewart is a television and live-event producer known for overseeing large-scale broadcast productions, including NBC’s musical specials.
-
D.
Graham Stanton
Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
-
E.
Ian Stewart
Ian Stewart is a British Labour politician who became the inaugural directly elected mayor of the city of Salford.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73855e5d08190aed5e285247b4e23 |
completed | April 21, 2026, 8:41 a.m. |
Created at: April 16, 2026, 4:04 p.m.