Triple
T202151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conservative Judaism |
E4527
|
entity |
| Predicate | hasClergyTitle |
P3092
|
FINISHED |
| Object | rabbi |
—
|
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: rabbi | Statement: [Conservative Judaism, hasClergyTitle, rabbi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClergyTitle Context triple: [Conservative Judaism, hasClergyTitle, rabbi]
-
A.
hasClergyType
chosen
Indicates the specific category or role of clergy associated with an entity.
-
B.
hasClergyOrder
Indicates that an entity is associated with, or belongs to, a specific religious or clerical order.
-
C.
hasLiturgicalRank
Indicates that an entity is assigned a specific status or level within a liturgical or religious ceremonial hierarchy.
-
D.
ecclesiasticalRank
Indicates the hierarchical religious office or clerical status that one entity holds within a church or ecclesiastical organization.
-
E.
hasPatronalTitle
Indicates that an entity holds or is associated with a specific patronal or honorific title, typically reflecting patronage, protection, or dedication.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c2ead8481909996042efcae5e9d |
completed | Feb. 28, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69a25b4a0d448190a6fa6aeb30dc7e13 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.