Triple
T1120714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Duchess Olga Alexandrovna of Russia |
E24603
|
entity |
| Predicate | marriageStartWithNikolaiKulikovsky |
P23691
|
FINISHED |
| Object | 1916-11-16 |
—
|
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: 1916-11-16 | Statement: [Grand Duchess Olga Alexandrovna of Russia, marriageStartWithNikolaiKulikovsky, 1916-11-16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithNikolaiKulikovsky Context triple: [Grand Duchess Olga Alexandrovna of Russia, marriageStartWithNikolaiKulikovsky, 1916-11-16]
-
A.
marries
chosen
Indicates that one entity enters into a legally or socially recognized marital union with another entity.
-
B.
connectedThroughMarriageVia
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.
-
C.
marriageDocumentedIn
Indicates that a marriage event is recorded or evidenced in a specific document or source.
-
D.
numberOfMarriagesOfSpouse
Indicates the total count of times the referenced spouse has been married.
-
E.
firstWifeOf
Indicates that one person is the first woman to have been married to another person.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4562f48190831e959f5f309956 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.