Triple

T10796057
Position Surface form Disambiguated ID Type / Status
Subject Pavel Batitsky E254708 entity
Predicate familyName P18 FINISHED
Object Batitsky
Batitsky is a Russian surname most notably associated with Soviet military commander Pavel Batitsky.
 E885567 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: Batitsky | Statement: [Pavel Batitsky, familyName, Batitsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Batitsky
Context triple: [Pavel Batitsky, familyName, Batitsky]
  • A. Shchors
    Shchors is a 1939 Soviet biographical war film directed by Alexander Dovzhenko about the Ukrainian Bolshevik commander Nikolai Shchors.
  • B. Yagoda
    Yagoda is a Russian surname most notably associated with Genrikh Yagoda, a Soviet secret police official and early head of the NKVD under Joseph Stalin.
  • C. Tolbukhin
    Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
  • D. Maychew
    Maychew is a town in northern Ethiopia known as a local commercial and administrative center within the Tigray highlands.
  • E. Muratov
    Muratov is a Russian surname most prominently associated with Dmitry Muratov, the Nobel Peace Prize–winning journalist and editor-in-chief of the independent newspaper Novaya Gazeta.
  • 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: Batitsky
Triple: [Pavel Batitsky, familyName, Batitsky]
Generated description
Batitsky is a Russian surname most notably associated with Soviet military commander Pavel Batitsky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Batitsky
Target entity description: Batitsky is a Russian surname most notably associated with Soviet military commander Pavel Batitsky.
  • A. Shchors
    Shchors is a 1939 Soviet biographical war film directed by Alexander Dovzhenko about the Ukrainian Bolshevik commander Nikolai Shchors.
  • B. Yagoda
    Yagoda is a Russian surname most notably associated with Genrikh Yagoda, a Soviet secret police official and early head of the NKVD under Joseph Stalin.
  • C. Tolbukhin
    Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
  • D. Maychew
    Maychew is a town in northern Ethiopia known as a local commercial and administrative center within the Tigray highlands.
  • E. Muratov
    Muratov is a Russian surname most prominently associated with Dmitry Muratov, the Nobel Peace Prize–winning journalist and editor-in-chief of the independent newspaper Novaya Gazeta.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73332dbfc8190904434846957b618 completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5654e2c48190a8f078b8164707e2 completed April 14, 2026, 2:59 p.m.
NEDg Description generation batch_69de5eae7ab88190a0c512cfe61e3458 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de60907e1081908405b6d71adbd388 completed April 14, 2026, 3:43 p.m.
Created at: April 8, 2026, 9:17 p.m.