Triple
T6817057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Wayne |
E156790
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Mary Penrose |
E156790
|
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: Mary Penrose | Statement: [Anthony Wayne, spouse, Mary Penrose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Penrose Context triple: [Anthony Wayne, spouse, Mary Penrose]
-
A.
Mary Penrose
chosen
Mary Penrose was the wife of American Revolutionary War general Anthony Wayne and a member of a prominent Pennsylvania family in the late 18th century.
-
B.
Mary Penrose
Mary Penrose was the wife of influential English educator and Rugby School headmaster Thomas Arnold.
-
C.
Margaret Leathes Penrose
Margaret Leathes Penrose was the mother of renowned mathematical physicist and Nobel laureate Sir Roger Penrose.
-
D.
Helen Saunders
Helen Saunders was a British modernist painter and one of the few prominent women artists involved in the early 20th-century Vorticist movement.
-
E.
Maud Brewster
Maud Brewster is a cultured and resilient poet and literary critic who becomes a central figure and love interest amid the brutal sea adventure in Jack London’s novel "The Sea-Wolf."
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723e0c62c8190b3b3b092ea48d4c5 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:17 p.m.