Triple

T4283162
Position Surface form Disambiguated ID Type / Status
Subject Scarlet Sails E97201 entity
Predicate author P4 FINISHED
Object Alexander Grin E97201 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: 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. 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.
  • C. Alexander Novikov
    Alexander Novikov was a prominent Soviet Air Force marshal and military commander who played a key role in organizing and leading Soviet air operations during World War II.
  • D. Alexander Burdonsky
    Alexander Burdonsky was a Russian theater director and the grandson of Soviet leader Joseph Stalin, known for his work at Moscow’s Central Academic Theater of the Russian Army.
  • E. Arkady Darell
    Arkady Darell is a central character in Isaac Asimov’s Foundation series, known as a precocious and resourceful young woman whose actions significantly influence the fate of the Second Foundation.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3503a84548190989a96d1a30d6ef7 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d069a3c08190abbbf4f163c31054 completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:07 p.m.