Triple
T435287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christos |
E9797
|
entity |
| Predicate | hasRoleInDoctrine |
P161
|
FINISHED |
| Object | Title of Jesus |
—
|
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: Title of Jesus | Statement: [Christos, hasRoleInDoctrine, Title of Jesus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoleInDoctrine Context triple: [Christos, hasRoleInDoctrine, Title of Jesus]
-
A.
hasRole
chosen
Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
-
B.
requiresRole
Indicates that performing an action or accessing a resource is contingent on the subject having a specified role or set of roles.
-
C.
isGrantedFor
Indicates that a permission, right, or benefit has been formally given to a specific entity for a particular purpose or use.
-
D.
hasEquivalentRole
Indicates that two entities hold roles that are functionally the same or interchangeable in a given context.
-
E.
usesDoctrine
Indicates that one entity applies, follows, or relies on a particular doctrine in its actions or reasoning.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ef0b6e0c8190ad6a335ee804829c |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2edda55e88190b7c17ba94d7df1ce |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.