Triple
T33396947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles J. Chaput |
E855196
|
entity |
| Predicate | wearsClericalDressOf |
P42772
|
FINISHED |
| Object | Latin Church bishops |
—
|
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: Latin Church bishops | Statement: [Charles J. Chaput, wearsClericalDressOf, Latin Church bishops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wearsClericalDressOf Context triple: [Charles J. Chaput, wearsClericalDressOf, Latin Church bishops]
-
A.
hasClericalVestments
chosen
Indicates that one entity possesses or is associated with the clerical vestments (religious garments) of another entity.
-
B.
monasticDress
Indicates that an entity wears or is characterized by clothing associated with a monastic or religious order.
-
C.
hasClergy
Indicates that an organization or institution possesses or is served by members of the clergy.
-
D.
memberOfClergy
Indicates that one entity serves in an official religious or clerical role within a religious organization or institution.
-
E.
clergy
Indicates that an entity serves in an official religious or spiritual leadership role within an organized faith or religious institution.
- 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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:35 a.m.