Triple

T950380
Position Surface form Disambiguated ID Type / Status
Subject Vyacheslav Molotov E20506 entity
Predicate pseudonym P39 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 Molotov, pseudonym, Molotov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molotov
Context triple: [Vyacheslav Molotov, pseudonym, 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. Moskovitz
    Moskovitz is the surname of Dustin Moskovitz, an American entrepreneur best known as a co-founder of Facebook and Asana.
  • C. Petro
    Petro is a common Ukrainian male given name, notably borne by former Ukrainian president Petro Poroshenko.
  • D. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • E. Boris
    Boris is the given name of Boris Johnson, the former Prime Minister of the United Kingdom and prominent British Conservative politician.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3d62e408190855b2883407f6c6b completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac119db8c881909cd727b255675c0c completed March 7, 2026, 11:53 a.m.
Created at: March 1, 2026, 7:40 p.m.