Triple
T9987469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varvara Rasputina |
E196804
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rasputina |
E196804
|
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: Rasputina | Statement: [Varvara Rasputina, familyName, Rasputina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rasputina Context triple: [Varvara Rasputina, familyName, Rasputina]
-
A.
Varvara Rasputina
chosen
Varvara Rasputina is a fictional Marvel Comics character, a powerful mutant sorceress and the daughter of the infamous Russian mystic Grigori Rasputin.
-
B.
Anna Rasputina
Anna Rasputina was the mother of the infamous Russian mystic and royal advisor Grigori Rasputin.
-
C.
Annabella
Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
-
D.
White Demon
White Demon is a formidable mythical monster from the Persian epic Shahnameh, best known as the fearsome adversary slain by the hero Rostam.
-
E.
Satanika
Satanika is a character from the Indian epic Mahabharata, known as one of the sons of Nakula and a warrior prince of the Pandava lineage.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdc79c8b80819091dc16ac8fd0c720 |
completed | April 2, 2026, 1:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d25810584c81908382cf6edd700530 |
completed | April 5, 2026, 12:39 p.m. |
Created at: March 30, 2026, 8:50 p.m.