Triple
T17743286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Urs von Balthasar |
E442917
|
entity |
| Predicate | cardinalateStatus |
P128828
|
FINISHED |
| Object | diedBeforeConsistory |
—
|
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: diedBeforeConsistory | Statement: [Hans Urs von Balthasar, cardinalateStatus, diedBeforeConsistory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardinalateStatus Context triple: [Hans Urs von Balthasar, cardinalateStatus, diedBeforeConsistory]
-
A.
cardinalsStatus
Indicates the state or condition currently associated with cardinals in a given context.
-
B.
papalStatus
Indicates that an entity holds, held, or is assigned a particular status or role in relation to the papacy (e.g., pope, antipope, papal candidate, or related papal office).
-
C.
cardinalateTitle
Indicates the specific cardinal rank or title conferred on a person within the College of Cardinals.
-
D.
rankInCollegeOfCardinals
Indicates the specific hierarchical position a cardinal holds within the College of Cardinals.
-
E.
appointedCardinalInConsistory
Indicates that a person was made a cardinal during a specific papal consistory.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ace58988190b927ca29af7a8b77 |
completed | April 19, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3d37ab6988190bd326ea6f8dd4aaa |
completed | April 18, 2026, 6:54 p.m. |
Created at: April 10, 2026, 10:09 a.m.