Triple
T19722760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo XIII’s Marian encyclicals |
E473650
|
entity |
| Predicate | viewsMaryAs |
P93181
|
FINISHED |
| Object | powerful intercessor for peace |
—
|
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: powerful intercessor for peace | Statement: [Leo XIII’s Marian encyclicals, viewsMaryAs, powerful intercessor for peace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsMaryAs Context triple: [Leo XIII’s Marian encyclicals, viewsMaryAs, powerful intercessor for peace]
-
A.
viewMaryAs
chosen
Indicates that one entity perceives, regards, or interprets Mary in a particular way or role.
-
B.
viewsAs
Indicates that one entity perceives, interprets, or regards another entity in a particular way or role.
-
C.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
D.
viewsGraceAs
Indicates that one entity regards or perceives Grace in a particular way or role.
-
E.
viewsPerson
Indicates that one person looks at, observes, or watches another person.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f587d88190bf519fec7ce634d3 |
completed | April 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:46 p.m.