Triple
T14370013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avital Sharansky |
E356333
|
entity |
| Predicate | marriageRelatedEvent |
P45367
|
FINISHED |
| Object | married Natan Sharansky shortly before his arrest by Soviet authorities |
—
|
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: married Natan Sharansky shortly before his arrest by Soviet authorities | Statement: [Avital Sharansky, marriageRelatedEvent, married Natan Sharansky shortly before his arrest by Soviet authorities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageRelatedEvent Context triple: [Avital Sharansky, marriageRelatedEvent, married Natan Sharansky shortly before his arrest by Soviet authorities]
-
A.
associatedWithWeddingOf
Indicates a relationship where something is connected or related to the wedding event of specific individuals.
-
B.
marriageDate
Indicates the specific date on which two entities entered into a marital relationship.
-
C.
marriedOn
Indicates that a marriage event took place on a specific date for the related entities.
-
D.
hasMarriage
chosen
Indicates a marital relationship exists between the two entities, specifying that they are or were legally married to each other.
-
E.
marries
Indicates that one entity enters into a legally or socially recognized marital union with another entity.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fb0b8988190ab834a85911c015c |
completed | April 14, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:15 a.m.