Triple
T36500066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivan Kuntsevych |
E899298
|
entity |
| Predicate | hasCanonizedBy |
P201077
|
FINISHED |
| Object | Pope Pius IX |
—
|
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: Pope Pius IX | Statement: [Ivan Kuntsevych, hasCanonizedBy, Pope Pius IX]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonizedBy Context triple: [Ivan Kuntsevych, hasCanonizedBy, Pope Pius IX]
-
A.
hasCanonization
Indicates that an entity has undergone or been granted formal canonization, typically recognizing it as officially sainted or sanctified.
-
B.
hasCanonizationDate
Indicates the date on which an individual was formally declared a saint or canonized by an authoritative religious body.
-
C.
hasPartInCanonization
Indicates that an entity participated in or contributed to the process of canonization of another entity.
-
D.
hasPartInCanonizationStatus
Indicates that an entity participates in or contributes to determining another entity’s canonization status.
-
E.
hasCanonicalRepresentation
Indicates that one entity is the standard or authoritative form in which another entity is represented.
- F. None of above. chosen
Provenance (4 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffc605b0648190a7abe9128b0d857a |
completed | May 9, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69ffc5742d80819099f947ece78d5700 |
completed | May 9, 2026, 11:38 p.m. |
| PDg | Predicate description generation | batch_69ffc60504808190a89990b556b1d5ce |
completed | May 9, 2026, 11:40 p.m. |
Created at: May 3, 2026, 4:10 p.m.