Triple
T11933355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Elizabeth Jenkins |
E283970
|
entity |
| Predicate | sourcedFrom |
P409
|
FINISHED |
| Object | historical records of the Lincoln assassination |
—
|
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: historical records of the Lincoln assassination | Statement: [Mary Elizabeth Jenkins, sourcedFrom, historical records of the Lincoln assassination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourcedFrom Context triple: [Mary Elizabeth Jenkins, sourcedFrom, historical records of the Lincoln assassination]
-
A.
source
chosen
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
-
B.
incorporatedFrom
Indicates that one entity was formed, established, or legally created by deriving or transforming from another pre-existing entity.
-
C.
containsSourceOf
Indicates that one entity includes, holds, or encompasses the origin or cause of another entity.
-
D.
originatesAs
Indicates that one entity begins, arises, or comes into existence in the form, state, or role specified by another entity.
-
E.
collectionOrigin
Indicates that one entity is the source, provenance, or originating context from which a collection of items or data has been derived or assembled.
- F. None of above.
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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90305015c81908edb0d9d3d012b2e |
completed | April 10, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.