Triple
T12419215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Alexandra, 2nd Duchess of Fife |
E296720
|
entity |
| Predicate | grantedTitleOfPrincessByRoyalWarrant |
P105015
|
FINISHED |
| Object | 1905 |
—
|
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: 1905 | Statement: [Princess Alexandra, 2nd Duchess of Fife, grantedTitleOfPrincessByRoyalWarrant, 1905]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedTitleOfPrincessByRoyalWarrant Context triple: [Princess Alexandra, 2nd Duchess of Fife, grantedTitleOfPrincessByRoyalWarrant, 1905]
-
A.
royalWarrantGrantedIn
Indicates that an official royal warrant or authorization was granted in a specified place or jurisdiction.
-
B.
hasRoyalWarrantFrom
Indicates that one party has been formally granted a royal warrant or official endorsement by a specific royal person or household.
-
C.
princessOf
Indicates that one entity holds the royal title or role of princess in relation to another entity, typically a realm, family, or sovereign.
-
D.
monarchWhoGrantedTitle
Indicates the monarch who conferred or bestowed a particular title upon an individual.
-
E.
royalTitleConfirmed
Indicates that an individual's royal title has been formally validated or officially recognized.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94e15f21c8190831c9562ffdd4fda |
completed | April 10, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:55 p.m.