Triple
T465862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramón José Castellano |
E8444
|
entity |
| Predicate | ordainedTitle |
P502
|
FINISHED |
| Object | priest |
—
|
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: priest | Statement: [Ramón José Castellano, ordainedTitle, priest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ordainedTitle Context triple: [Ramón José Castellano, ordainedTitle, priest]
-
A.
ecclesiasticalRank
Indicates the hierarchical religious office or clerical status that one entity holds within a church or ecclesiastical organization.
-
B.
religiousTitle
chosen
Indicates that one entity holds or is referred to by a specific religious rank, honorific, or clerical title in relation to another entity.
-
C.
ordainedBy
Indicates that an entity has been formally appointed, consecrated, or invested with authority by another entity.
-
D.
honorificTitle
Indicates that one entity serves as a formal honorific or respectful title used to address or refer to another entity.
-
E.
confersTitle
Indicates that one entity grants or bestows an official title or designation upon another entity.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efd6ec708190b78c7f22deb3ca64 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2edea1acc81908a72d9f4c43438ea |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.