Triple
T12023856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Scientist Presents Evidence for Belief |
E286224
|
entity |
| Predicate | associatedWithBookGenre |
P26454
|
FINISHED |
| Object | Christian apologetics |
—
|
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: Christian apologetics | Statement: [A Scientist Presents Evidence for Belief, associatedWithBookGenre, Christian apologetics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithBookGenre Context triple: [A Scientist Presents Evidence for Belief, associatedWithBookGenre, Christian apologetics]
-
A.
relationshipToBooks
Indicates the nature or type of connection an entity has with one or more books, such as ownership, authorship, usage, or preference.
-
B.
authorGenre
Indicates the relationship between an author and the literary genre(s) in which they write or are associated with.
-
C.
hasGenreInBibliography
Indicates that a work’s bibliography includes sources belonging to a specified genre.
-
D.
publishedGenre
chosen
Indicates that an entity has been published in, or is associated with, a particular genre.
-
E.
associatedWithGenreDevelopment
Indicates a relationship where something has contributed to, influenced, or been involved in the development or evolution of a particular genre.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902b6ebbc8190b13c44a61c6f81b9 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.