Triple
T20818726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vadim Perelman |
E512512
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Yolki 5 |
—
|
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: Yolki 5 | Statement: [Vadim Perelman, directed, Yolki 5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yolki 5 Context triple: [Vadim Perelman, directed, Yolki 5]
-
A.
Yolki 5
chosen
Yolki 5 is a Russian New Year-themed comedy film, part of the popular "Yolki" anthology series, directed by Vadim Perelman.
-
B.
YOL
YOL is the IATA airport code for Yola Airport, which serves the city of Yola in northeastern Nigeria.
-
C.
Yodli
Yodli is the official mascot of the 2020 Winter Youth Olympic Games in Lausanne, depicted as a playful chamois symbolizing the Swiss Alps and youth sports spirit.
-
D.
Lyolik
Lyolik is a comedic criminal character from the classic Soviet film "The Diamond Arm," known for his bumbling attempts at carrying out a smuggling scheme.
-
E.
Yllet
Yllet is a novel by Swedish author Lars Gustafsson, known for its philosophical depth and exploration of identity and reality.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f5b1e08190a9c26f76bd544b68 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.