Triple
T29472682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Семнадцать мгновений весны |
E747553
|
entity |
| Predicate | закадровыйТекстЧитает |
P46114
|
FINISHED |
| Object | Ефим Копелян |
—
|
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: Ефим Копелян | Statement: [Семнадцать мгновений весны, закадровыйТекстЧитает, Ефим Копелян]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: закадровыйТекстЧитает Context triple: [Семнадцать мгновений весны, закадровыйТекстЧитает, Ефим Копелян]
-
A.
scriptTranscribedFrom
Indicates that a written script is a transcription derived from another source, such as audio, video, or a different script.
-
B.
readingOf
Indicates that one entity is an interpretation, measurement, or recorded value derived from another entity.
-
C.
hasNarration
chosen
Indicates that an entity provides spoken or written commentary or storytelling for another entity, such as a work, event, or scene.
-
D.
transcriptAvailable
Indicates that a transcript of the referenced content is available for access or use.
-
E.
containsReading
Indicates that one entity includes or encompasses a particular reading (such as a measurement, value, or interpretation) within it.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66bd2451c8190ad14604068f308d8 |
completed | May 2, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:58 p.m.