Triple

T2049039
Position Surface form Disambiguated ID Type / Status
Subject Carlo Rossi E45520 entity
Predicate notableWork P4 FINISHED
Object Alexandrinsky Theatre E33667 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: Alexandrinsky Theatre | Statement: [Carlo Rossi, notableWork, Alexandrinsky Theatre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandrinsky Theatre
Context triple: [Carlo Rossi, notableWork, Alexandrinsky Theatre]
  • A. Alexandrinsky Theatre chosen
    The Alexandrinsky Theatre is one of Russia’s oldest and most prestigious drama theatres, renowned for its neoclassical architecture and central role in the cultural life of Saint Petersburg.
  • B. Mikhailovsky Theatre
    The Mikhailovsky Theatre is one of Saint Petersburg’s historic opera and ballet houses, renowned for its classical repertoire and elegant 19th-century architecture.
  • C. Bolshoi Theatre
    The Bolshoi Theatre is Russia’s most famous historic theatre and home of the renowned Bolshoi Ballet and Opera companies.
  • D. Solodovnikov Theatre
    Solodovnikov Theatre was a Moscow theatre known for hosting significant early 20th-century Russian opera premieres.
  • E. Volkov Theatre
    Volkov Theatre is a historic Russian drama theatre in Yaroslavl, often regarded as one of the oldest professional theatres in Russia.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb98c70c48190beb98aad56d9daf1 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6533d4b88190ac722cd1ebfa3d8f completed March 10, 2026, 12:26 a.m.
Created at: March 4, 2026, 7:39 p.m.