Triple

T22794817
Position Surface form Disambiguated ID Type / Status
Subject Panteleimon Ponomarenko E564212 entity
Predicate awardReceived P11 FINISHED
Object Order of Kutuzov NE NERFINISHED

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: Order of Kutuzov | Statement: [Panteleimon Ponomarenko, awardReceived, Order of Kutuzov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Order of Kutuzov
Context triple: [Panteleimon Ponomarenko, awardReceived, Order of Kutuzov]
  • A. Order of Kutuzov chosen
    The Order of Kutuzov is a Soviet military decoration established during World War II to honor commanders for exceptional leadership and successful strategic operations in combat.
  • B. Suvorov
    Suvorov is a small town in Russia’s Tula Oblast, known as a local administrative and industrial center in the region.
  • C. The Black Hussar
    The Black Hussar is a German operetta film for which Franz Schulz wrote the screenplay.
  • D. Orden Otechestvennoy Voyny
    Orden Otechestvennoy Voyny is a Soviet military decoration established during World War II to honor soldiers for heroic deeds in the Great Patriotic War.
  • E. Prince of Rostov
    The Prince of Rostov was a medieval Rus’ ruler of the important northeastern principality of Rostov, a title held by figures such as Yuri Dolgorukiy before the rise of Moscow.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd81794819091b528600e322d7b completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:30 p.m.