Triple
T10920213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Widow program |
E257926
|
entity |
| Predicate | associatedCharacter |
P12208
|
FINISHED |
| Object | Dreykov |
E257922
|
NE 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: Dreykov | Statement: [Black Widow program, associatedCharacter, Dreykov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dreykov Context triple: [Black Widow program, associatedCharacter, Dreykov]
-
A.
Dreykov
chosen
Dreykov is the ruthless Soviet general and mastermind behind the Red Room program who serves as the primary antagonist in Marvel’s Black Widow.
-
B.
Sebastian Blenkov
Sebastian Blenkov is a cinematographer known for his work on the British World War II film "Their Finest."
-
C.
Baklanov
Baklanov is a Russian surname most notably associated with Soviet politician and aerospace official Oleg Baklanov.
-
D.
Kirilov
Kirilov is a philosophical and tormented character in Fyodor Dostoevsky’s novel "Demons," known for his radical ideas about freedom, God, and suicide.
-
E.
Kostylev
Kostylev is a philosophical, disillusioned former intellectual in Maxim Gorky’s play "The Lower Depths," known for his cynical reflections on truth, faith, and human suffering.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77081a0c48190b7aa4a482032d1ea |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e34455ea4c8190b6f2433f3f745b76 |
completed | April 18, 2026, 8:44 a.m. |
Created at: April 8, 2026, 9:22 p.m.