Triple
T6369289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernest Walton |
E143306
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Walton |
E147739
|
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: Walton | Statement: [Ernest Walton, familyName, Walton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walton Context triple: [Ernest Walton, familyName, Walton]
-
A.
Walton
chosen
Walton is a surname most prominently associated with Bill Walton, the Hall of Fame American basketball player and sportscaster.
-
B.
Walton
Walton is a district in Liverpool, England, known as the home area of Everton Football Club’s Goodison Park stadium.
-
C.
Walton
Walton is a village and civil parish located within the county of Suffolk in eastern England.
-
D.
Walton
Walton is a masculine given name of English origin, historically used both as a surname and a first name.
-
E.
Wilford
Wilford is a masculine given name most notably associated with American actor Wilford Brimley.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068265a7481908571be7ea4ac11b7 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d8689408190b334928df870ed29 |
completed | March 27, 2026, 7:11 a.m. |
Created at: March 22, 2026, 4:33 p.m.