Triple
T26131419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stewarts of Darnley |
E659256
|
entity |
| Predicate | throughMarriageConnectedTo |
P17516
|
FINISHED |
| Object | Mary, Queen of Scots |
—
|
NE NERFINISHED |
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: Mary, Queen of Scots | Statement: [Stewarts of Darnley, throughMarriageConnectedTo, Mary, Queen of Scots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: throughMarriageConnectedTo Context triple: [Stewarts of Darnley, throughMarriageConnectedTo, Mary, Queen of Scots]
-
A.
connectedThroughMarriageVia
chosen
Indicates that two entities are related to each other by a marital connection that is mediated through one or more intermediate spouses or in-laws, rather than by a direct marriage between them.
-
B.
hasMemberSpouseConnection
Indicates a relationship where one entity is a spouse of a member associated with the other entity.
-
C.
resultedInMarriageTo
Indicates that one event, action, or circumstance led to or caused a marriage to occur between the related entities.
-
D.
marriedBy
Indicates that one entity is the officiant or authority who performs and formalizes the marriage of another entity.
-
E.
metSpouseThrough
Indicates that one person became acquainted with and subsequently married their spouse as a result of a particular intermediary person, event, place, or context.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60b931a7c819088d55031d502a9e0 |
completed | May 2, 2026, 2:34 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:15 p.m.