Triple
T23590466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theophilus of Antioch |
E582461
|
entity |
| Predicate | usedTermForGod |
P16497
|
FINISHED |
| Object | Logos |
—
|
NE NERFINISHED |
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: Logos | Statement: [Theophilus of Antioch, usedTermForGod, Logos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedTermForGod Context triple: [Theophilus of Antioch, usedTermForGod, Logos]
-
A.
usedTerm
chosen
Indicates that one entity employed, referenced, or applied a particular term in some context.
-
B.
usedForReligiousLanguage
Indicates that something is employed specifically in the context of religious language, such as for expressing, communicating, or performing religious beliefs, practices, or rituals.
-
C.
associatedWithGod
Indicates a relationship in which an entity is linked, related, or connected in some meaningful way to a god or deity.
-
D.
namedByGod
Indicates that an entity has been given its name directly by God.
-
E.
usedReligionFor
Indicates that an entity employed religion as a means or tool to achieve some purpose, goal, or effect.
- 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_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b03484e4819093d5c14c891f7744 |
completed | April 29, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:42 p.m.