Triple
T17830862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magda Alderson |
E445249
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Alderson |
—
|
NE NERFINISHED |
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: Alderson | Statement: [Magda Alderson, familyName, Alderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alderson Context triple: [Magda Alderson, familyName, Alderson]
-
A.
Alderson
chosen
Alderson is a surname of English origin borne by various notable individuals across military, scientific, and cultural fields.
-
B.
Alderson, West Virginia
Alderson, West Virginia is a small town in southern West Virginia known for its historic downtown along the Greenbrier River and for hosting one of the state’s largest Fourth of July celebrations.
-
C.
Halliford
Halliford is a locality in Surrey, England, known as part of the Shepperton and Upper Halliford suburban area within the London commuter belt.
-
D.
Knowlton
Knowlton is an English surname borne by various notable figures, including military officers, politicians, and academics.
-
E.
Knowlton
Knowlton is a small unincorporated rural community located in Ringgold County, Iowa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48917c4d88190b919a4b75aed011c |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.