Triple
T28367280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdel Aziz |
E718523
|
entity |
| Predicate | theophoric |
P9869
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Abdel Aziz, theophoric, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theophoric Context triple: [Abdel Aziz, theophoric, yes]
-
A.
isTheophoric
chosen
Indicates that something (typically a name or term) incorporates the name of a deity or refers explicitly to a god.
-
B.
underOmophorionOf
Indicates that one ecclesiastical entity is under the pastoral authority, jurisdiction, or protection of a particular bishop or hierarch.
-
C.
deifiedFormOf
Indicates that one entity is the deified or god-like form or manifestation of another entity.
-
D.
usesTheonym
Indicates that one entity refers to or designates another entity by using a theonym, i.e., the proper name of a deity.
-
E.
praenomenTransliteration
Indicates the transliterated form of a person's Latin praenomen (given name) from its original script into a standardized Latin-letter representation.
- 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_69eff6ed5af48190be4e0adf298223e0 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64c5759ec8190befb634523ac87e2 |
completed | May 2, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 12:56 a.m.