Triple
T5488880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Captain's Daughter |
E123650
|
entity |
| Predicate | antagonist |
P4675
|
FINISHED |
| Object | Shvabrin |
E523942
|
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: Shvabrin | Statement: [The Captain's Daughter, antagonist, Shvabrin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shvabrin Context triple: [The Captain's Daughter, antagonist, Shvabrin]
-
A.
Shvabrin
chosen
Shvabrin is a key character in Alexander Pushkin's historical novel "The Captain's Daughter," known for his duplicitous and antagonistic role in the story.
-
B.
Vrakuňa
Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
-
C.
Gavro
Gavro is a diminutive or short form of the male given name Gavril, commonly used in some Slavic-speaking regions.
-
D.
Strelsau
Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
-
E.
Dalstroi
Dalstroi was a Soviet state organization that managed forced labor camps and large-scale industrial and construction projects in the Kolyma region, particularly focused on gold mining.
- 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf70dcb0c881909d9aaf0050a5c27b |
completed | March 22, 2026, 4:32 a.m. |
Created at: March 20, 2026, 2:10 p.m.