Triple
T17649832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Everest |
E429456
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | Mary Everest |
—
|
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: Mary Everest | Statement: [Thomas Everest, notableRelative, Mary Everest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Everest Context triple: [Thomas Everest, notableRelative, Mary Everest]
-
A.
Mary Everest
chosen
Mary Everest was a 19th-century British educator and mathematician best known for her innovative ideas on teaching mathematics and for being the wife of logician George Boole.
-
B.
Margaretta Scott
Margaretta Scott was a British actress known for her work in film, theatre, and radio during the mid-20th century.
-
C.
Mary Georgina Newton
Mary Georgina Newton was the wife of pioneering nuclear physicist Ernest Rutherford and a supportive partner throughout his scientific career.
-
D.
Jane Bell
Jane Bell is known as the wife of Henry Bell, a figure associated with early steamship development.
-
E.
Dora Wheeler
Dora Wheeler was an American painter and illustrator of the late 19th and early 20th centuries, known for her portraits and decorative work.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3c7da48190b38558bc66637687 |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:05 a.m.