Triple
T23367148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontifical Commission Ecclesia Dei |
E593354
|
entity |
| Predicate | hadSecretary |
P152445
|
FINISHED |
| Object | Camillo Ruini |
—
|
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: Camillo Ruini | Statement: [Pontifical Commission Ecclesia Dei, hadSecretary, Camillo Ruini]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadSecretary Context triple: [Pontifical Commission Ecclesia Dei, hadSecretary, Camillo Ruini]
-
A.
precededInOfficeAsSecretaryOfStateBy
Indicates that one person assumed the role of Secretary of State after another specific person, who held the office immediately before them.
-
B.
currentSecretary
Indicates that one entity currently holds the position or role of secretary for another entity.
-
C.
hadPrincipalLeader
Indicates that an entity was led or headed by a primary or chief leader.
-
D.
hasUSSecretaryOfDefense
Indicates that an entity has, or is associated with, a specific individual serving in the role of United States Secretary of Defense.
-
E.
hadGovernor
Indicates that an administrative region or political entity was governed by a specific person who held the office of governor.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0ad621881908a909f236e6e9c90 |
completed | April 29, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 5:32 p.m.