Triple

T9433076
Position Surface form Disambiguated ID Type / Status
Subject Alexander Samsonov E227432 entity
Predicate familyName P18 FINISHED
Object Samsonov
Samsonov is a Russian surname borne by numerous notable figures, including military leaders, athletes, and public personalities.
 E800439 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: Samsonov | Statement: [Alexander Samsonov, familyName, Samsonov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Samsonov
Context triple: [Alexander Samsonov, familyName, Samsonov]
  • A. Semyonov
    Semyonov is a common Russian surname borne by numerous notable figures in fields such as literature, science, and military history.
  • B. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • C. Pokryshkin
    Pokryshkin is a Russian surname most famously associated with Aleksandr Pokryshkin, a celebrated Soviet World War II fighter ace and marshal of aviation.
  • D. Ratmir
    Ratmir is a Tatar prince who appears as a gallant yet ultimately reformed seducer in Alexander Pushkin’s narrative poem "Ruslan and Ludmila."
  • 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: Samsonov
Triple: [Alexander Samsonov, familyName, Samsonov]
Generated description
Samsonov is a Russian surname borne by numerous notable figures, including military leaders, athletes, and public personalities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Samsonov
Target entity description: Samsonov is a Russian surname borne by numerous notable figures, including military leaders, athletes, and public personalities.
  • A. Semyonov
    Semyonov is a common Russian surname borne by numerous notable figures in fields such as literature, science, and military history.
  • B. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • C. Pokryshkin
    Pokryshkin is a Russian surname most famously associated with Aleksandr Pokryshkin, a celebrated Soviet World War II fighter ace and marshal of aviation.
  • D. Ratmir
    Ratmir is a Tatar prince who appears as a gallant yet ultimately reformed seducer in Alexander Pushkin’s narrative poem "Ruslan and Ludmila."
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e61a114819081fc4a2ad39c96ba completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122484a90819080e406a7ae5c61fe completed April 4, 2026, 2:38 p.m.
NEDg Description generation batch_69d1231adb4481908fac11cae099d0de completed April 4, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69d123fcc8f48190838abd08a4af0a63 completed April 4, 2026, 2:45 p.m.
Created at: March 30, 2026, 7:49 p.m.