Triple
T38163431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchy of Bronté |
E953077
|
entity |
| Predicate | fullTitleConferred |
P190171
|
FINISHED |
| Object | Duke of Bronté |
—
|
NE NERFINISHED |
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: Duke of Bronté | Statement: [Duchy of Bronté, fullTitleConferred, Duke of Bronté]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fullTitleConferred Context triple: [Duchy of Bronté, fullTitleConferred, Duke of Bronté]
-
A.
honorificDegree
Indicates that an entity has been awarded an honorary academic degree or title, typically in recognition of merit rather than completion of formal study.
-
B.
academicTitleOf
Indicates that one entity is the academic title or rank held by another entity.
-
C.
conferredIn
Indicates that something (such as a degree, title, or honor) was formally granted or awarded within a particular context, event, or institution.
-
D.
academicTitleAbbreviation
Indicates that one entity is the standard abbreviated form of another entity’s full academic title.
-
E.
confersTitle
Indicates that one entity grants or bestows an official title or designation upon another entity.
- F. None of above. chosen
Provenance (4 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcb088aac481909db90804faff315f |
completed | May 7, 2026, 3:32 p.m. |
Created at: May 3, 2026, 4:21 p.m.