Triple
T11802383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Dunlavy |
E280657
|
entity |
| Predicate | movementTransition |
P101370
|
FINISHED |
| Object | from Presbyterianism to the Shaker movement |
—
|
LITERAL 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: from Presbyterianism to the Shaker movement | Statement: [John Dunlavy, movementTransition, from Presbyterianism to the Shaker movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movementTransition Context triple: [John Dunlavy, movementTransition, from Presbyterianism to the Shaker movement]
-
A.
movementAcross
Indicates movement of an entity from one side or area to another, traversing through or over an intervening space or boundary.
-
B.
movementContext
Indicates the situational or environmental conditions under which a movement or motion event occurs, such as its manner, setting, or constraints.
-
C.
movementType
Indicates the manner or mode in which an entity moves or is moved from one place or state to another.
-
D.
movementTransformed
Indicates that an entity’s movement has been altered or converted from one form, state, or pattern into another.
-
E.
movementStart
Indicates the point in time or event at which an entity begins its movement or motion.
- F. None of above. chosen
Provenance (4 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a6574b7081908f7451d2bb233967 |
completed | April 10, 2026, 7:27 a.m. |
Created at: April 8, 2026, 9:42 p.m.