Triple
T20002127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxwell Perkins |
E494357
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Louise Saunders |
—
|
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: Louise Saunders | Statement: [Maxwell Perkins, spouse, Louise Saunders]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louise Saunders Context triple: [Maxwell Perkins, spouse, Louise Saunders]
-
A.
Louise Saunders
chosen
Louise Saunders was an American writer and playwright best known for her marriage to influential editor Maxwell Perkins and for authoring children’s literature and stage works in the early 20th century.
-
B.
Louise Thomas
Louise Thomas was the wife of pioneering British aviation designer and test pilot Geoffrey de Havilland.
-
C.
Louise Wilson
Louise Wilson is known primarily as the daughter of American businessman and Xerox Corporation founder Joseph C. Wilson.
-
D.
Louise Franklin
Louise Franklin was the wife of British actor George Coulouris, known primarily in relation to his personal life.
-
E.
Louise Boyd
Louise Boyd was an American Arctic explorer, photographer, and philanthropist known for leading several expeditions to Greenland in the early 20th century.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a2e34481908a495cc5d077c41f |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:32 p.m.