Triple

T5079032
Position Surface form Disambiguated ID Type / Status
Subject Vyacheslav Mikhailovich Skryabin E114469 entity
Predicate familyName P18 FINISHED
Object Molotov E112286 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: Molotov | Statement: [Vyacheslav Mikhailovich Skryabin, familyName, Molotov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molotov
Context triple: [Vyacheslav Mikhailovich Skryabin, familyName, Molotov]
  • A. Molotov chosen
    Molotov is a Russian surname most famously associated with Soviet politician Vyacheslav Molotov, whose name became linked to the improvised incendiary weapon known as the Molotov cocktail.
  • B. Molotov Girl
    Molotov Girl is a rebellious, game-savvy character in the film "Free Guy," known for helping the protagonist uncover the truth about his virtual world.
  • C. Raskob
    Raskob is a surname most notably associated with John J. Raskob, the American businessman and key figure behind the development of the Empire State Building.
  • D. Shaposhnikov
    Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
  • E. Malinovsky
    Malinovsky is a Russian surname most notably associated with Soviet military commander and Marshal of the Soviet Union Rodion Malinovsky.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74f75cf0819088be9e076eaf3168 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb12bd7288190b66ac606aebcabca completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:39 p.m.