Triple
T1678523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comic Relief |
E36285
|
entity |
| Predicate | grants to |
P168
|
FINISHED |
| Object | UK charities |
—
|
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: UK charities | Statement: [Comic Relief, grants to, UK charities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grants to Context triple: [Comic Relief, grants to, UK charities]
-
A.
grantedIn
Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
-
B.
notableGrant
Indicates that an entity has received a grant or funding award that is considered significant or noteworthy.
-
C.
grantedTo
chosen
Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
-
D.
grantedBy
Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
-
E.
grantProgram
Indicates that an entity administers or is associated with a structured grant-based funding program.
- 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aba644070c81908745b56d981fe273 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61b57a6881909373af287ef24799 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.