Triple
T1901455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Walton |
E37697
|
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: [William Walton, familyName, Walton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walton Context triple: [William 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.
Whalley
Whalley is a historic village in Lancashire, England, known for its medieval abbey ruins and picturesque setting in the Ribble Valley.
-
C.
Elwyn
Elwyn is a given name most notably associated with mathematician and coding theorist Elwyn R. Berlekamp.
-
D.
Walton and Maberly
Walton and Maberly was a 19th-century London-based publishing firm known for producing scholarly and scientific works.
-
E.
Blackwood
Blackwood is a town in south Wales known for its coal-mining heritage and location in the Sirhowy Valley.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb18da27c8190b315b462c857f4c2 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaf558148190b920693e2348190f |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:35 p.m.