Triple
T9908705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isaac Easty |
E185083
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Mary Easty |
E19336
|
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 Easty | Statement: [Isaac Easty, spouse, Mary Easty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Easty Context triple: [Isaac Easty, spouse, Mary Easty]
-
A.
Mary Easty
chosen
Mary Easty was a respected Salem, Massachusetts woman who was falsely accused of witchcraft and executed during the 1692 Salem witch trials, later remembered for her dignified plea for justice.
-
B.
Mary Robbins
Mary Robbins is known as the mother of American actor and filmmaker Tim Robbins.
-
C.
Mary Fagan
Mary Fagan is a person notable enough to be specifically cited as a bearer of the surname Fagan.
-
D.
Mary Scudder
Mary Scudder is the pious, dutiful young heroine of Harriet Beecher Stowe’s novel "The Minister’s Wooing," whose moral integrity and emotional struggles drive much of the story’s drama.
-
E.
Ellen Hutchison
Ellen Hutchison was the wife of Edwin M. Stanton, the U.S. Secretary of War under President Abraham Lincoln.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50feb008190aa9c084f590c0ebd |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98801deb8819092a45193078f09b4 |
completed | April 10, 2026, 11:30 p.m. |
Created at: March 30, 2026, 8:41 p.m.