Triple
T182605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Christian Philosopher |
E3908
|
entity |
| Predicate | hasPerspectiveOn |
P31
|
FINISHED |
| Object | emerging scientific knowledge of the early 18th century |
—
|
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: emerging scientific knowledge of the early 18th century | Statement: [The Christian Philosopher, hasPerspectiveOn, emerging scientific knowledge of the early 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerspectiveOn Context triple: [The Christian Philosopher, hasPerspectiveOn, emerging scientific knowledge of the early 18th century]
-
A.
hasPerception
Indicates that one entity is aware of, senses, or recognizes another entity or phenomenon.
-
B.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
C.
hasView
Indicates that one entity provides a visual perspective or outlook onto another entity or scene.
-
D.
observedBy
Indicates that an entity is perceived, monitored, or recorded by another entity acting as the observer.
-
E.
narrativePerspective
Indicates the point of view or vantage from which a narrative is told, specifying the relationship between the storyteller and the events being described.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2592516748190a85ae58eec191f14 |
completed | Feb. 28, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69a2566dfc388190988b1b42d5daaafe |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.