Triple
T6835449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carin von Kantzow |
E157437
|
entity |
| Predicate | startTimeOfSpouseRelationshipWithHermannGöring |
P14428
|
FINISHED |
| Object | 1923 |
—
|
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: 1923 | Statement: [Carin von Kantzow, startTimeOfSpouseRelationshipWithHermannGöring, 1923]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfSpouseRelationshipWithHermannGöring Context triple: [Carin von Kantzow, startTimeOfSpouseRelationshipWithHermannGöring, 1923]
-
A.
spouseEndTimeWithHermannGöring
Indicates the time at which an individual’s spousal relationship with Hermann Göring ended.
-
B.
marriageToErichMariaRemarqueStart
Indicates the point in time when an entity’s marriage to Erich Maria Remarque begins.
-
C.
startTimeOfSpouseRelationshipWithLadyRandolphChurchill
Indicates the point in time when an individual’s spousal relationship with Lady Randolph Churchill began.
-
D.
spouseStartTime
chosen
Indicates the point in time when two individuals began their spousal (marriage) relationship.
-
E.
startTimeOfSpouseRelationshipWithDouglasMacArthur
Indicates the date and time at which an individual’s spousal relationship with Douglas MacArthur began.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d67a9ff88190b0d86331b3ea06aa |
completed | March 27, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:19 p.m.