Triple
T13436970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earldom of Orkney |
E320253
|
entity |
| Predicate | pledgedAsDowry |
P26744
|
FINISHED |
| Object | marriage of Margaret of Denmark and James III of Scotland |
—
|
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: marriage of Margaret of Denmark and James III of Scotland | Statement: [Earldom of Orkney, pledgedAsDowry, marriage of Margaret of Denmark and James III of Scotland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pledgedAsDowry Context triple: [Earldom of Orkney, pledgedAsDowry, marriage of Margaret of Denmark and James III of Scotland]
-
A.
dowry
chosen
Indicates the transfer of wealth or property from a bride’s family to the groom or his family as part of a marriage arrangement.
-
B.
grantedAsDowerTo
Indicates that something (typically property or rights) is given to a person as dower, i.e., as a legal provision or settlement made upon marriage or upon a spouse’s death.
-
C.
bride
Indicates that an entity is a woman who is getting married or has just been married in relation to a wedding event or spouse.
-
D.
engagedTo
Indicates that two entities are formally committed to marry each other.
-
E.
arrangedMarriageFor
Indicates that one entity has organized or set up a marriage for another entity.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee42a8c8190a85716b4a6db335e |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.