Triple
T21281111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canto V |
E524524
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Ratmir |
—
|
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: Ratmir | Statement: [Canto V, featuresCharacter, Ratmir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ratmir Context triple: [Canto V, featuresCharacter, Ratmir]
-
A.
Ratmir
chosen
Ratmir is a Tatar prince who appears as a gallant yet ultimately reformed seducer in Alexander Pushkin’s narrative poem "Ruslan and Ludmila."
-
B.
Arseny
Arseny is a masculine given name of Russian origin, historically borne by several notable figures in literature, art, and public life.
-
C.
Gerasimov
Gerasimov is a Russian surname borne by various notable figures in fields such as the military, arts, and sciences.
-
D.
Mikhaylovich
Mikhaylovich is a Russian patronymic name indicating that a person is the son of someone named Mikhail.
-
E.
Pavel Batov
Pavel Batov was a distinguished Soviet general who commanded key formations on the Eastern Front during World War II and later held senior military and political posts in the USSR.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d186988190a5b16fcb669ece9f |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:02 p.m.