Triple
T33234564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vie de Jésus |
E850789
|
entity |
| Predicate | comparesJesusTo |
P71340
|
FINISHED |
| Object | great moral teachers |
—
|
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: great moral teachers | Statement: [Vie de Jésus, comparesJesusTo, great moral teachers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparesJesusTo Context triple: [Vie de Jésus, comparesJesusTo, great moral teachers]
-
A.
theologicallyContrastedWith
Indicates that two entities are set in opposition or compared as differing in theological beliefs, doctrines, or interpretations.
-
B.
regardsJesusAs
Indicates that one entity holds a particular view, attitude, or evaluation of Jesus as another entity.
-
C.
recognizesJesusWhen
Indicates that one entity identifies or acknowledges Jesus as such under certain conditions or at a particular time.
-
D.
comparativeReligion
chosen
Indicates a relationship in which religious beliefs, practices, or traditions are examined, contrasted, or analyzed in relation to one another.
-
E.
spokeToJesusAbout
Indicates that one entity communicated verbally with Jesus regarding a particular topic or matter.
- 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_69f349613f988190a1eb75467d167122 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 1, 2026, 1:31 a.m.