Triple
T7548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem witch trials |
E150
|
entity |
| Predicate | keyFigure |
P256
|
FINISHED |
| Object | Rebecca Nurse |
E964
|
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: Rebecca Nurse | Statement: [Salem witch trials, keyFigure, Rebecca Nurse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebecca Nurse Context triple: [Salem witch trials, keyFigure, Rebecca Nurse]
-
A.
Rebecca Nurse
chosen
Rebecca Nurse was a respected elderly Puritan woman in colonial Massachusetts who became one of the most famous individuals executed during the Salem witch trials.
-
B.
Giles Corey
Giles Corey was an elderly farmer in colonial Massachusetts who became infamous for being pressed to death after refusing to enter a plea during the Salem witch trials.
-
C.
Samuel Parris
Samuel Parris was the Puritan minister of Salem Village whose accusations and sermons helped ignite and intensify the Salem witch trials of 1692.
-
D.
Tituba
Tituba was an enslaved woman of Indigenous and African descent whose accusations and testimony helped ignite the Salem witch trials in 1692.
-
E.
Lucille Sheardown
Lucille Sheardown was one of the later wives of American inventor Lee de Forest, associated with his personal life rather than his pioneering work in radio and electronics.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a24659cfe0819088c2e8a61c2274f3 |
completed | Feb. 28, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a25528aa18819088213f16547924ca |
completed | Feb. 28, 2026, 2:38 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.