Triple
T18826119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Brandon, 1st Duke of Suffolk |
E460389
|
entity |
| Predicate | pardonReason |
P133554
|
FINISHED |
| Object | unauthorized marriage to Mary Tudor in France |
—
|
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: unauthorized marriage to Mary Tudor in France | Statement: [Charles Brandon, 1st Duke of Suffolk, pardonReason, unauthorized marriage to Mary Tudor in France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pardonReason Context triple: [Charles Brandon, 1st Duke of Suffolk, pardonReason, unauthorized marriage to Mary Tudor in France]
-
A.
pardonStatus
Indicates whether an entity has been officially forgiven or exempted from penalties for a prior offense or violation.
-
B.
reasonForPunishment
Indicates that one entity is the cause, justification, or grounds for another entity receiving a punishment.
-
C.
pardonDate
Indicates the date on which an official pardon for an offense is granted or takes effect.
-
D.
reasonForGrant
Indicates the justification, purpose, or cause for which a grant is awarded or provided.
-
E.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bec7b08190b040ec8b3693f037 |
completed | April 20, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:56 a.m.