Triple

T3640318
Position Surface form Disambiguated ID Type / Status
Subject Ivan IV the Terrible E77171 entity
Predicate spouse P13 FINISHED
Object Marfa Sobakina
Marfa Sobakina was the third wife of Russian Tsar Ivan IV (Ivan the Terrible), briefly serving as Tsaritsa of Russia before dying under mysterious circumstances shortly after their marriage.
E375782 NE FINISHED

How this triple was built (4 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: Marfa Sobakina | Statement: [Ivan IV the Terrible, spouse, Marfa Sobakina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marfa Sobakina
Context triple: [Ivan IV the Terrible, spouse, Marfa Sobakina]
  • A. Shubskaya
    Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
  • B. Kashirina
    Kashirina is a Russian surname most notably borne by Varvara Vasilyevna Kashirina.
  • C. Kuntsevskaya
    Kuntsevskaya is a Moscow Metro station on the Big Circle Line serving the Kuntsevo District in western Moscow.
  • D. Govardeyskaya
    Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
  • E. Lopukhina
    Lopukhina is a Russian noble family name historically associated with Eudoxia Lopukhina, the first wife of Tsar Peter the Great.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Marfa Sobakina
Triple: [Ivan IV the Terrible, spouse, Marfa Sobakina]
Generated description
Marfa Sobakina was the third wife of Russian Tsar Ivan IV (Ivan the Terrible), briefly serving as Tsaritsa of Russia before dying under mysterious circumstances shortly after their marriage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marfa Sobakina
Target entity description: Marfa Sobakina was the third wife of Russian Tsar Ivan IV (Ivan the Terrible), briefly serving as Tsaritsa of Russia before dying under mysterious circumstances shortly after their marriage.
  • A. Shubskaya
    Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
  • B. Kashirina
    Kashirina is a Russian surname most notably borne by Varvara Vasilyevna Kashirina.
  • C. Kuntsevskaya
    Kuntsevskaya is a Moscow Metro station on the Big Circle Line serving the Kuntsevo District in western Moscow.
  • D. Govardeyskaya
    Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
  • E. Lopukhina
    Lopukhina is a Russian noble family name historically associated with Eudoxia Lopukhina, the first wife of Tsar Peter the Great.
  • F. None of above. chosen

Provenance (5 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc32b83188190bfc0ed4dc8f66730 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f2a8a5c8190b84dcf4b4b8a939e completed March 13, 2026, 5:53 p.m.
NEDg Description generation batch_69b45292546c81909770dcd6239dbda3 completed March 13, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69b45f76fcc48190bab9bc6ce83700eb completed March 13, 2026, 7:03 p.m.
Created at: March 8, 2026, 3:24 p.m.