Triple
T18826094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Brandon, 1st Duke of Suffolk |
E460389
|
entity |
| Predicate | spouseTitleOfMaryTudor |
P17687
|
FINISHED |
| Object | Dowager Queen of 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: Dowager Queen of France | Statement: [Charles Brandon, 1st Duke of Suffolk, spouseTitleOfMaryTudor, Dowager Queen of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseTitleOfMaryTudor Context triple: [Charles Brandon, 1st Duke of Suffolk, spouseTitleOfMaryTudor, Dowager Queen of France]
-
A.
isSpouseOfTitle
Indicates that one entity holds a spousal relationship specifically associated with a titled or honorific status of another entity.
-
B.
marriageToCatherineParr
Indicates that the subject is married to Catherine Parr.
-
C.
hasSpouseTitle
chosen
Indicates that a person’s spouse holds a particular title or honorific designation.
-
D.
marriageToHenryVIIIStatus
Indicates the status or condition of an entity’s marriage relationship to Henry VIII (e.g., current, former, annulled, pending, etc.).
-
E.
spouseOfHeirToThrone
Indicates that one person is the married partner of an individual who is the heir to a throne.
- 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_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. |
Created at: April 10, 2026, 11:56 a.m.