Triple
T11146440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dane Ortlund |
E263680
|
entity |
| Predicate | writesInGenre |
P87617
|
FINISHED |
| Object | devotional literature |
—
|
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: devotional literature | Statement: [Dane Ortlund, writesInGenre, devotional literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writesInGenre Context triple: [Dane Ortlund, writesInGenre, devotional literature]
-
A.
fieldOfWriting
Indicates that one entity is the domain, genre, or subject area in which another entity writes or produces written work.
-
B.
writtenIn
Indicates that a work (such as a text, program, or document) is expressed or encoded using a particular language or notation.
-
C.
genreOfProducedWorks
chosen
Indicates that one entity is the genre category to which the works produced by another entity belong.
-
D.
publishedGenre
Indicates that an entity has been published in, or is associated with, a particular genre.
-
E.
writesInStyle
Indicates that an entity creates written work using a particular style or manner of writing.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e86e9ef48190b4df4b14319a954f |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75ce104908190b6cc31ef2f67846a |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.