Triple
T24131200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Henry, Duke of Cumberland and Strathearn |
E597956
|
entity |
| Predicate | nobleTitleGranted |
P154954
|
FINISHED |
| Object | 1766 |
—
|
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: 1766 | Statement: [Prince Henry, Duke of Cumberland and Strathearn, nobleTitleGranted, 1766]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nobleTitleGranted Context triple: [Prince Henry, Duke of Cumberland and Strathearn, nobleTitleGranted, 1766]
-
A.
nobleTitleAcquiredThrough
Indicates the manner, event, or process by which a person comes to obtain or be granted a particular noble title.
-
B.
honoraryTitleGrantedTo
Indicates that an honorary title has been formally conferred upon a particular entity.
-
C.
nobleTitleElevated
Indicates that an entity’s noble rank or title has been raised to a higher level of nobility.
-
D.
countyTitleGranted
Indicates that a county-level noble title has been formally granted to an entity by an appropriate authority.
-
E.
monarchWhoGrantedTitle
Indicates the monarch who conferred or bestowed a particular title upon an individual.
- 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_69e288c808b881909fed7d18f04bcbbe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1df7788788190a71ad080fc2890a8 |
completed | April 29, 2026, 10:37 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 11:25 p.m.