Triple
T23075373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lydia McLane Johnston |
E575314
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Johnston |
—
|
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: Johnston | Statement: [Lydia McLane Johnston, familyName, Johnston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johnston Context triple: [Lydia McLane Johnston, familyName, Johnston]
-
A.
Johnston
chosen
Johnston is a surname and given name of Scottish and Irish origin, commonly used as a variant of Johnson.
-
B.
Johnston
Johnston is a suburban town in Providence County, Rhode Island, known for hosting several state government facilities and a mix of residential and commercial areas.
-
C.
Johnston
Johnston is a suburban city in central Iowa, United States, known for hosting the headquarters of the Iowa National Guard and several major corporate offices.
-
D.
Johnston
Johnston is a residential suburb located within the greater Darwin metropolitan region in Australia's Northern Territory.
-
E.
New Johnston
New Johnston is a modernized sans-serif typeface developed as an updated version of the original Johnston design used for London’s public transport system.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c62c200819099c92654493288ad |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.