Triple
T20010657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corsini |
E494579
|
entity |
| Predicate | hasMemberInClergy |
P9815
|
FINISHED |
| Object | cardinals |
—
|
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: cardinals | Statement: [Corsini, hasMemberInClergy, cardinals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberInClergy Context triple: [Corsini, hasMemberInClergy, cardinals]
-
A.
memberOfClergy
Indicates that one entity serves in an official religious or clerical role within a religious organization or institution.
-
B.
hasClergy
chosen
Indicates that an organization or institution possesses or is served by members of the clergy.
-
C.
hasClergyType
Indicates the specific category or role of clergy associated with an entity.
-
D.
hasClergyLikeGroup
Indicates that an entity possesses or is associated with a group functioning in a clergy-like or religious-leadership role.
-
E.
hasNotableClergyman
Indicates that an entity is associated with a clergyman who is distinguished or notable in some recognized way.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662362df48190abf16129eea39985 |
completed | April 20, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:33 p.m.