Triple
T3274606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Cardinal McCloskey |
E68728
|
entity |
| Predicate | appointedCardinalInConsistory |
P47044
|
FINISHED |
| Object | 1875-03-15 |
—
|
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: 1875-03-15 | Statement: [John Cardinal McCloskey, appointedCardinalInConsistory, 1875-03-15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedCardinalInConsistory Context triple: [John Cardinal McCloskey, appointedCardinalInConsistory, 1875-03-15]
-
A.
appointedCardinalBy
Indicates that one entity has formally elevated or designated another entity to the rank or office of cardinal.
-
B.
deanOfCollegeOfCardinals
Indicates that one entity serves as the Dean (presiding head) of the College of Cardinals to which the other entity refers.
-
C.
yearConferredCardinalate
Indicates the specific year in which an individual was formally created or appointed as a cardinal.
-
D.
subdeanOfCollegeOfCardinals
Indicates that one entity holds the position of Subdean within the College of Cardinals.
-
E.
rankInCollegeOfCardinals
Indicates the specific hierarchical position a cardinal holds within the College of Cardinals.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff8a440819092509bc8511b2785 |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:10 p.m.