Triple
T3702874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Celestine IV |
E80819
|
entity |
| Predicate | clericalOrder |
P47608
|
FINISHED |
| Object | secular clergy |
—
|
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: secular clergy | Statement: [Pope Celestine IV, clericalOrder, secular clergy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clericalOrder Context triple: [Pope Celestine IV, clericalOrder, secular clergy]
-
A.
clergyOrder
chosen
Indicates that an individual belongs to, or is formally associated with, a specific religious clerical order or denomination.
-
B.
clerkOfCourtOffice
Indicates that an entity serves as or is designated as the office of the clerk of court for a particular jurisdiction or court.
-
C.
ecclesiasticalDocumentOf
Indicates that one entity is an ecclesiastical (church-related) document that is issued by, belongs to, or is formally associated with another entity.
-
D.
orderInOffice
Indicates that one entity holds a specific sequential position or rank within a defined term or period of holding an office or official role.
-
E.
churchOrder
Indicates the hierarchical or organizational structure that defines roles, authority, and governance within a church 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc54925b48190b23d2a14ef825abc |
completed | March 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69adb84eeca48190bb4de637e9f0e27a |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:33 p.m.