Triple
T31984607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Vilhelmine Marie of Denmark |
E816685
|
entity |
| Predicate | endTimeOfSpouseRelationshipWithFrederickVII |
P149185
|
FINISHED |
| Object | 1837 |
—
|
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: 1837 | Statement: [Princess Vilhelmine Marie of Denmark, endTimeOfSpouseRelationshipWithFrederickVII, 1837]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfSpouseRelationshipWithFrederickVII Context triple: [Princess Vilhelmine Marie of Denmark, endTimeOfSpouseRelationshipWithFrederickVII, 1837]
-
A.
marriageToFrederickIV
Indicates a marital relationship in which the subject is married to Frederick IV.
-
B.
marriageOrderWithFrederickVII
Indicates the sequence or order in which an entity entered into marriage with Frederick VII.
-
C.
endTimeOfMarriageWithPeterIII
Indicates the date and time when a marriage involving Peter III officially ended.
-
D.
marriedToMonarchUntil
chosen
Indicates that an individual was married to a monarch up to a specified end point in time, after which the marriage no longer held.
-
E.
marriageYearToKing
Indicates the year in which an entity entered into marriage with a king.
- 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_69f348f6a3008190bfb59ca695fd68e2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
Created at: May 1, 2026, 12:12 a.m.