Triple
T29799574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedric the Saxon |
E756654
|
entity |
| Predicate | intendedMarriageAlliance |
P186381
|
FINISHED |
| Object | Rowena and Athelstane of Coningsburgh |
—
|
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: Rowena and Athelstane of Coningsburgh | Statement: [Cedric the Saxon, intendedMarriageAlliance, Rowena and Athelstane of Coningsburgh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedMarriageAlliance Context triple: [Cedric the Saxon, intendedMarriageAlliance, Rowena and Athelstane of Coningsburgh]
-
A.
marriageAlliances
chosen
Indicates a relationship where two or more parties form or maintain a political or social alliance through marriage between their members.
-
B.
marriageAllianceWith
Indicates a formal marital union established between two parties to create or strengthen a political, social, or strategic alliance.
-
C.
rivalForMarriageOf
Indicates that one entity is a romantic competitor with another entity for the opportunity to marry a specific third entity.
-
D.
arrangedMarriageFor
Indicates that one entity has organized or set up a marriage for another entity.
-
E.
marriesFor
Indicates that one entity enters into marriage with another entity specifically for a particular reason, motive, or benefit.
- 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_69f22454583081908927516cb9938d1d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 29, 2026, 5:17 p.m.