Triple
T8020484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir William Springett |
E186727
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Springett |
E186726
|
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: Springett | Statement: [Sir William Springett, familyName, Springett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Springett Context triple: [Sir William Springett, familyName, Springett]
-
A.
Springett
chosen
Springett is an English surname most notably associated with Gulielma Maria Springett and historically linked to Quaker and gentry families in England.
-
B.
Tascott
Tascott is a coastal suburb on the Central Coast of New South Wales, Australia, situated along the shores of Brisbane Water.
-
C.
Screveton
Screveton is a small rural village and civil parish in Nottinghamshire, England, known for its historic church and traditional countryside character.
-
D.
Corbitt
Corbitt is a variant spelling of the surname Corbett, which is of English and Scottish origin.
-
E.
Spenge
Spenge is a small town in the German state of North Rhine-Westphalia, historically associated with the former County of Ravensberg.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8d90488190b57d1e748e272061 |
completed | March 31, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93b18a6c81908a3a4bc25552d97b |
completed | April 1, 2026, 3:40 a.m. |
Created at: March 30, 2026, 5:20 p.m.