Triple
T2774367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontifical Ecclesiastical Academy |
E61532
|
entity |
| Predicate | notableAlumniRole |
P25466
|
FINISHED |
| Object | apostolic nuncio |
—
|
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: apostolic nuncio | Statement: [Pontifical Ecclesiastical Academy, notableAlumniRole, apostolic nuncio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAlumniRole Context triple: [Pontifical Ecclesiastical Academy, notableAlumniRole, apostolic nuncio]
-
A.
hasNotableAlumniType
Indicates that an entity has notable alumni belonging to a specified category or type.
-
B.
positionOfNotableAlumnus
chosen
Indicates the professional role or office held by a notable alumnus in relation to an institution or organization.
-
C.
notablePersonnel
Indicates that the subject has associated individuals who are particularly important, distinguished, or prominent in relation to it.
-
D.
notableStudentOrColleague
Indicates that one entity is a notable student or professional colleague of another entity.
-
E.
notableCulturalFigure
Indicates that a person holds significant influence or recognition within a culture’s arts, traditions, values, or public life.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfed608819080988e93df7bdf7c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.