Triple

T21309006
Position Surface form Disambiguated ID Type / Status
Subject Michel Ney E525278 entity
Predicate title P38 FINISHED
Object Prince of the Moskva 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: Prince of the Moskva | Statement: [Michel Ney, title, Prince of the Moskva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince of the Moskva
Context triple: [Michel Ney, title, Prince of the Moskva]
  • A. Tsarevich
    Tsarevich was the traditional title given to the heir apparent to the Russian imperial throne.
  • B. Prince of Smolensk
    Prince of Smolensk is a noble title most famously borne by Russian field marshal Mikhail Kutuzov, celebrated for his leadership against Napoleon during the French invasion of Russia.
  • C. Prince of Smolensk
    The Prince of Smolensk was a medieval Rus' ruler of the Smolensk principality, an important political and economic center in the Kievan Rus' realm.
  • D. Prince de la Moskowa chosen
    Prince de la Moskowa is a French noble title historically associated with Marshal Michel Ney, one of Napoleon Bonaparte’s most famous military commanders.
  • E. Prince of Belgorod
    The Prince of Belgorod was a medieval Rus' princely title associated with ruling the important town of Belgorod near Kiev within the Kievan Rus' realm.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aa916548190a11f8bb4255e3fed completed April 21, 2026, 11:08 a.m.
Created at: April 16, 2026, 4:06 p.m.