Triple

T15721023
Position Surface form Disambiguated ID Type / Status
Subject Prince Ivan Nikitich Odoevsky E381092 entity
Predicate familyName P18 FINISHED
Object Odoevsky
Odoevsky is the surname of a Russian princely family historically associated with the nobility of Muscovy and the Russian Empire.
 E1173111 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: Odoevsky | Statement: [Prince Ivan Nikitich Odoevsky, familyName, Odoevsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Odoevsky
Context triple: [Prince Ivan Nikitich Odoevsky, familyName, Odoevsky]
  • A. Fyodorov
    Fyodorov is a Russian surname borne by numerous notable figures in fields such as sports, science, and the arts.
  • B. Rozhdestvensky
    Rozhdestvensky is a Russian surname most notably associated with figures such as conductor Gennady Rozhdestvensky.
  • C. Zhores
    Zhores is a given name most notably borne by Nobel Prize–winning physicist Zhores Alferov.
  • D. Platon Volkov
    Platon Volkov was the husband of Zinaida Volkova, the daughter of Russian revolutionary Leon Trotsky.
  • E. Pozdnyshev
    Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
  • 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: Odoevsky
Triple: [Prince Ivan Nikitich Odoevsky, familyName, Odoevsky]
Generated description
Odoevsky is the surname of a Russian princely family historically associated with the nobility of Muscovy and the Russian Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Odoevsky
Target entity description: Odoevsky is the surname of a Russian princely family historically associated with the nobility of Muscovy and the Russian Empire.
  • A. Fyodorov
    Fyodorov is a Russian surname borne by numerous notable figures in fields such as sports, science, and the arts.
  • B. Rozhdestvensky
    Rozhdestvensky is a Russian surname most notably associated with figures such as conductor Gennady Rozhdestvensky.
  • C. Zhores
    Zhores is a given name most notably borne by Nobel Prize–winning physicist Zhores Alferov.
  • D. Platon Volkov
    Platon Volkov was the husband of Zinaida Volkova, the daughter of Russian revolutionary Leon Trotsky.
  • E. Pozdnyshev
    Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb0b51081908e652ec4992296fa completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff75852cf88190be054160d5cbc675 completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff783a84308190baffa6bbdfa56093 completed May 9, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69ff78f94c048190adbe51f2cf76a2e6 completed May 9, 2026, 6:12 p.m.
Created at: April 10, 2026, 4:45 a.m.