Triple
T36581397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Святослав Шевчук |
E902404
|
entity |
| Predicate | імʼя при народженні |
P80791
|
FINISHED |
| Object | Святослав Шевчук |
—
|
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: Святослав Шевчук | Statement: [Святослав Шевчук, імʼя при народженні, Святослав Шевчук]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: імʼя при народженні Context triple: [Святослав Шевчук, імʼя при народженні, Святослав Шевчук]
-
A.
originalNameGivenByMother
Indicates that the name in question is the original name assigned to an individual specifically by their mother.
-
B.
coronatedNameAtBirth
Indicates that an entity’s coronation name is the same as their name at birth.
-
C.
titleAtBirth
Indicates the formal title or rank a person held at the time of their birth.
-
D.
родовое имя
Indicates that one entity is the generic or family name (genus name) under which another, more specific entity is classified.
-
E.
bearerBirthNameOf
chosen
Indicates that one entity is the birth name originally given to and borne by 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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.