Triple
T3757981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Darkest Hour |
E82092
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Vika |
E307334
|
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: Vika | Statement: [The Darkest Hour, mainCharacter, Vika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vika Context triple: [The Darkest Hour, mainCharacter, Vika]
-
A.
Vladimira
chosen
Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
-
B.
Nadezhda
Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
-
C.
Volkova
Volkova is a Russian surname commonly borne by individuals of Slavic origin, including notable figures in politics, arts, and sciences.
-
D.
Vasilyeva
Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
-
E.
Varvara
Varvara is the Slavic form of the female given name Barbara, commonly used in Russian and other Eastern European languages.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc04d348190b0e4a90d18bdd160 |
completed | March 8, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb0fc6248190b2f4adf3fd2d73d9 |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 8, 2026, 3:35 p.m.