Triple
T182599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Christian Philosopher |
E3908
|
entity |
| Predicate | placeInAuthorOeuvre |
P4
|
FINISHED |
| Object | major philosophical and theological work by Cotton Mather |
—
|
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: major philosophical and theological work by Cotton Mather | Statement: [The Christian Philosopher, placeInAuthorOeuvre, major philosophical and theological work by Cotton Mather]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeInAuthorOeuvre Context triple: [The Christian Philosopher, placeInAuthorOeuvre, major philosophical and theological work by Cotton Mather]
-
A.
printedWorkAuthor
Indicates that a person is the creator or writer responsible for the content of a printed work.
-
B.
notableWork
chosen
Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another entity.
-
C.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
D.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
E.
describedByAuthorAs
Indicates that one entity is characterized, labeled, or portrayed in a particular way by an author.
- 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.