Triple
T12627686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Honourable Lady Ogilvy |
E301557
|
entity |
| Predicate | holderIsPatronOf |
P45407
|
FINISHED |
| Object | various charities in the United Kingdom |
—
|
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: various charities in the United Kingdom | Statement: [The Honourable Lady Ogilvy, holderIsPatronOf, various charities in the United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holderIsPatronOf Context triple: [The Honourable Lady Ogilvy, holderIsPatronOf, various charities in the United Kingdom]
-
A.
usedAsPatronOf
Indicates that one entity serves as a patron or sponsor for another, providing support, endorsement, or backing.
-
B.
typeOfPatronage
Indicates the specific kind or category of support, sponsorship, or backing that one entity provides to another.
-
C.
hasPatronageOver
chosen
Indicates that one entity serves as a patron, sponsor, or protector for another, exercising support, guidance, or authority over it.
-
D.
hasPatronCharacter
Indicates that one entity serves as a patron, protector, or guiding figure for another entity.
-
E.
patronType
Indicates the classification or category of a patron in relation to a service, institution, or resource.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b195108190ac25bd95e644ace4 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:14 p.m.