Triple
T1017278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen I of Hungary |
E21958
|
entity |
| Predicate | baptism |
P15967
|
FINISHED |
| Object | baptized as a Christian, taking the name Stephen |
—
|
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: baptized as a Christian, taking the name Stephen | Statement: [Stephen I of Hungary, baptism, baptized as a Christian, taking the name Stephen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baptism Context triple: [Stephen I of Hungary, baptism, baptized as a Christian, taking the name Stephen]
-
A.
baptized
chosen
Indicates that one entity performed or underwent the religious rite of baptism in relation to another entity or context.
-
B.
baptismReligion
Indicates the religion or denomination into which an entity was baptized.
-
C.
baptismDate
Indicates the date on which an entity underwent or received the rite of baptism.
-
D.
viewOnBaptism
Indicates a stance, belief, or doctrinal position that an entity holds regarding the practice or theology of baptism.
-
E.
baptismPlace
Indicates the place where an individual was baptized.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c4d488819081d8214ba0a22fe5 |
completed | March 1, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69a4b7238d4c8190b22d6c2ac0ac4911 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.