Triple
T19476729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison Cawthorn |
E487264
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cawthorn |
—
|
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: Cawthorn | Statement: [Madison Cawthorn, familyName, Cawthorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cawthorn Context triple: [Madison Cawthorn, familyName, Cawthorn]
-
A.
Cawthorn
chosen
Cawthorn is the surname of Madison Cawthorn, an American politician and former U.S. Representative from North Carolina.
-
B.
Langthwaite
Langthwaite is a small rural village in North Yorkshire, England, situated in the scenic Arkengarthdale valley within the Yorkshire Dales.
-
C.
Collishaw
Collishaw is a surname most notably associated with Raymond Collishaw, a distinguished Canadian fighter ace of the First World War.
-
D.
Hannington
Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
-
E.
Hannington
Hannington is a small rural village in the English county of Hampshire, known for its traditional countryside setting and historic character.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633f1f8688190a2df574a9e0a194d |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.