Triple
T21292519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katherine Waterston |
E524831
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Waterston | Statement: [Katherine Waterston, familyName, Waterston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waterston Context triple: [Katherine Waterston, familyName, Waterston]
-
A.
Waterston
chosen
Waterston is a surname most notably associated with the American acting family that includes veteran actor Sam Waterston and his children.
-
B.
Fairton
Fairton is a small rural settlement in New Zealand’s Canterbury region, situated within the Ashburton District and known for its agricultural surroundings.
-
C.
Kirkstead
Kirkstead is a small settlement in Lincolnshire, England, historically associated with the nearby River Witham and the remains of Kirkstead Abbey.
-
D.
Strathaven
Strathaven is a historic market town in South Lanarkshire, Scotland, known for its rural surroundings, annual hot air balloon festival, and landmark Strathaven Castle.
-
E.
Longden
Longden is an English-language surname borne by various notable individuals across fields such as politics, sports, and the arts.
- 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.