Triple
T1505165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wesley Saunders |
E33882
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Saunders |
E157403
|
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: Saunders | Statement: [Wesley Saunders, familyName, Saunders]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saunders Context triple: [Wesley Saunders, familyName, Saunders]
-
A.
Saunders
chosen
Saunders is a given name most notably borne by Saunders Mac Lane, a prominent American mathematician and co-founder of category theory.
-
B.
Sauer
Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
-
C.
Sandiacre
Sandiacre is a village and civil parish in the Erewash district of Derbyshire, England, situated near the border with Nottinghamshire.
-
D.
Souter
Souter is a surname most prominently associated with David H. Souter, a former Associate Justice of the United States Supreme Court.
-
E.
Barnes
Barnes is a riverside district in the London Borough of Richmond upon Thames known for its village-like atmosphere, green spaces, and historic architecture.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a88734508481909378bb3e86e13323 |
completed | March 4, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2336cb4c81909df0cae469673dee |
completed | March 8, 2026, 7:20 a.m. |
Created at: March 4, 2026, 7:24 p.m.