Triple
T6025550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Bethune |
E134168
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Frances Penney |
E134168
|
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: Frances Penney | Statement: [Norman Bethune, spouse, Frances Penney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frances Penney Context triple: [Norman Bethune, spouse, Frances Penney]
-
A.
Frances Penney
chosen
Frances Penney was the wife of Canadian physician and humanitarian Norman Bethune, accompanying parts of his medical and political journey in the early 20th century.
-
B.
Frances Rudge
Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
-
C.
Marjorie Wren
Marjorie Wren was the second wife of Scottish editor and military officer Hugh Alexander Pollock, known primarily through her marriage to him.
-
D.
Mary Pugh
Mary Pugh is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Pugh.
-
E.
Margaret Biggins
Margaret Biggins was the wife of Sir Richard Arkwright, the pioneering English inventor and industrialist of the early textile factory system.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fc08c5c819085afab5b18bce4d1 |
completed | March 22, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c6a0fdc8190be37008d4f036e51 |
completed | March 28, 2026, 9:16 a.m. |
Created at: March 22, 2026, 4:07 p.m.