Triple
T35539392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papal nobility |
E1027019
|
entity |
| Predicate | conferredTitleType |
P161687
|
FINISHED |
| Object | personal title |
—
|
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: personal title | Statement: [Papal nobility, conferredTitleType, personal title]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferredTitleType Context triple: [Papal nobility, conferredTitleType, personal title]
-
A.
confersTitle
Indicates that one entity grants or bestows an official title or designation upon another entity.
-
B.
fullTitleConferred
Indicates that an entity has been formally granted or assigned a complete official title by another authority or source.
-
C.
conferralType
chosen
Indicates the specific manner or category in which something (such as a title, degree, or honor) is formally granted or conferred from one party to another.
-
D.
academicTitleOf
Indicates that one entity is the academic title or rank held by another entity.
-
E.
conferredIn
Indicates that something (such as a degree, title, or honor) was formally granted or awarded within a particular context, event, or 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_69f76e008ba08190927acd8e5e0344c8 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 3, 2026, 4:04 p.m.