Triple
T8595222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ewart Brown |
E203527
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ewart |
E166915
|
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: Ewart | Statement: [Ewart Brown, givenName, Ewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ewart Context triple: [Ewart Brown, givenName, Ewart]
-
A.
Ewart
chosen
Ewart is a given name notably borne by the 19th-century British statesman William Ewart Gladstone.
-
B.
Craufurd
Craufurd is an alternative spelling of the surname Crawford, historically borne by several notable Scottish families and individuals.
-
C.
Bevan
Bevan is a Welsh surname most famously associated with Aneurin Bevan, the Labour politician regarded as the chief architect of the United Kingdom’s National Health Service.
-
D.
Aylward
Aylward is a given name notably borne by the 19th-century Irish zoologist and politician Nicholas Aylward Vigors.
-
E.
Longwy
Longwy is a northeastern French town in the Meurthe-et-Moselle department, historically known for its fortified architecture and steel industry near the borders with Luxembourg and Belgium.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c76fd48190ae67b660c5b8e29f |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8c9fcc48190ba20c85e226ef5f3 |
completed | April 2, 2026, 5:35 p.m. |
Created at: March 30, 2026, 6:23 p.m.