Triple

T1645217
Position Surface form Disambiguated ID Type / Status
Subject Mikhail Kutuzov E35565 entity
Predicate portrayedIn P626 FINISHED
Object War and Peace E18587 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: War and Peace | Statement: [Mikhail Kutuzov, portrayedIn, War and Peace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: War and Peace
Context triple: [Mikhail Kutuzov, portrayedIn, War and Peace]
  • A. War and Peace chosen
    War and Peace is a monumental 19th-century Russian novel that intertwines the lives of aristocratic families with the historical events of the Napoleonic Wars, exploring themes of history, fate, and human nature.
  • B. War and Peace
    "War and Peace" is a 1956 epic historical drama film adaptation of Leo Tolstoy's novel, featuring Audrey Hepburn in a leading role.
  • C. Freedom Triumphant in War and Peace
    Freedom Triumphant in War and Peace is the original title of the Statue of Freedom that crowns the dome of the United States Capitol in Washington, D.C.
  • D. Anna Karenina
    Anna Karenina is a classic 19th-century Russian novel that explores themes of love, infidelity, and social hypocrisy through the tragic life of its aristocratic heroine.
  • E. Doctor Zhivago
    Doctor Zhivago is a classic 1965 epic romantic drama film set during the Russian Revolution, renowned for its sweeping cinematography, tragic love story, and Omar Sharif’s iconic lead performance.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a41e5a08190b97dd1c0b12c662a completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60a26350819087e7a87b52561143 completed March 8, 2026, 11:42 a.m.
Created at: March 4, 2026, 7:28 p.m.