Triple
T13701170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chef (2014 film) |
E328520
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Sergei Bespalov |
—
|
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: Sergei Bespalov | Statement: [Chef (2014 film), producer, Sergei Bespalov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sergei Bespalov Context triple: [Chef (2014 film), producer, Sergei Bespalov]
-
A.
Sergei Bespalov
chosen
Sergei Bespalov is a film producer known for his work on action and genre movies, including the Robert Rodriguez–directed sequel "Machete Kills."
-
B.
Sergey Sokolov
Sergey Sokolov was a Soviet military leader and Marshal of the Soviet Union who served as the USSR’s Minister of Defense during the 1980s.
-
C.
Sergei Belov
Sergei Belov was a legendary Soviet and Russian basketball player widely regarded as one of the greatest European guards in history.
-
D.
Bogdan Khitrovo
Bogdan Khitrovo was a 17th-century Russian statesman and military leader who served under Tsar Alexei Mikhailovich and played a key role in the expansion and administration of the Russian state.
-
E.
Igor Shchyogolev
Igor Shchyogolev is a Russian politician and former Minister of Communications and Mass Media who has held several high-ranking government positions.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc879adc88190b03f1cf815b71061 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 9:54 p.m.