Triple
T28866727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Robert Morgan |
E729020
|
entity |
| Predicate | afflictedWorldBy |
P165682
|
FINISHED |
| Object | plague |
—
|
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: plague | Statement: [Dr. Robert Morgan, afflictedWorldBy, plague]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afflictedWorldBy Context triple: [Dr. Robert Morgan, afflictedWorldBy, plague]
-
A.
affectedLand
Indicates that a piece of land is impacted or influenced by a particular event, action, or condition.
-
B.
affectedArea
Indicates the specific region or extent over which an event, condition, or influence has an impact.
-
C.
transfersAfflictionTo
Indicates that one entity causes an affliction, condition, or harmful state to move from itself or another source onto a different entity.
-
D.
affectedCountry
Indicates that a particular country is impacted or influenced by an event, action, or condition.
-
E.
effectOnWorld
Indicates how an entity’s actions or existence change, influence, or impact the state of the world.
- 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f65a1ca88c8190a6533eb95c8479d8 |
completed | May 2, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 6:49 a.m.