Triple
T17508255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scarlet Sails |
E426381
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Alexander Grin |
—
|
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: Alexander Grin | Statement: [Scarlet Sails, author, Alexander Grin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Grin Context triple: [Scarlet Sails, author, Alexander Grin]
-
A.
Alexander Grin
chosen
Alexander Grin was a Russian writer best known for his romantic and adventure fiction, particularly the symbolist novella "Scarlet Sails."
-
B.
Fyodor Volkov
Fyodor Volkov was an 18th-century Russian actor and theatrical pioneer, widely regarded as the founder of the first permanent public Russian theatre.
-
C.
Alexander Toluboff
Alexander Toluboff was a Hollywood art director known for his work on major studio productions in the 1930s and 1940s.
-
D.
Alexander Gorsky
Alexander Gorsky was a Russian ballet master and choreographer known for revitalizing classical ballets with more naturalistic staging and dramatic realism in the late 19th and early 20th centuries.
-
E.
Yury Bukreyev
Yury Bukreyev was a Soviet military officer who rose to senior command rank, notably leading the prestigious 2nd Guards Tank Army.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525985f881909a5ad28b30762680 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.