Triple
T5648465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Clement III |
E124440
|
entity |
| Predicate | appointedAsCardinal |
P14900
|
FINISHED |
| Object | cardinal priest of SS. Sergio e Bacco |
—
|
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: cardinal priest of SS. Sergio e Bacco | Statement: [Pope Clement III, appointedAsCardinal, cardinal priest of SS. Sergio e Bacco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedAsCardinal Context triple: [Pope Clement III, appointedAsCardinal, cardinal priest of SS. Sergio e Bacco]
-
A.
appointedCardinalBy
chosen
Indicates that one entity has formally elevated or designated another entity to the rank or office of cardinal.
-
B.
appointedCardinalInConsistory
Indicates that a person was made a cardinal during a specific papal consistory.
-
C.
yearConferredCardinalate
Indicates the specific year in which an individual was formally created or appointed as a cardinal.
-
D.
rankInCollegeOfCardinals
Indicates the specific hierarchical position a cardinal holds within the College of Cardinals.
-
E.
deanOfCollegeOfCardinals
Indicates that one entity serves as the Dean (presiding head) of the College of Cardinals to which the other entity refers.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d1534c8190ac4828e44300fb91 |
completed | March 22, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:42 p.m.