Triple

T8970023
Position Surface form Disambiguated ID Type / Status
Subject Fritz Noether E214240 entity
Predicate placeOfDeath P21 FINISHED
Object Gorky E350714 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: Gorky | Statement: [Fritz Noether, placeOfDeath, Gorky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gorky
Context triple: [Fritz Noether, placeOfDeath, Gorky]
  • A. Gorky chosen
    Gorky is the former name of the Russian city of Nizhny Novgorod, historically known as a closed city in the Soviet era and a site of internal exile for dissidents.
  • B. Maksim Gorky
    Maksim Gorky was a seminal Russian and Soviet writer, socialist realist pioneer, and political activist whose works and public life profoundly influenced 20th-century Russian literature and culture.
  • C. Rozhdestvensky
    Rozhdestvensky is a Russian surname most notably associated with figures such as conductor Gennady Rozhdestvensky.
  • D. Zakhar Moglin
    Zakhar Moglin was the husband of Zinaida Volkova, the daughter of Russian revolutionary Leon Trotsky.
  • E. Mikhail Bulgakov-Golitsa
    Mikhail Bulgakov-Golitsa was a 16th-century Russian military leader and nobleman of the Grand Duchy of Moscow, noted for his role in major conflicts with the Grand Duchy of Lithuania and Poland.
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6765babc8190a4a3b79aa21047c8 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc96006e48190978e4ccdedc48b41 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:02 p.m.