Triple

T9751519
Position Surface form Disambiguated ID Type / Status
Subject Groth E236451 entity
Predicate hasNotableBearer P458 FINISHED
Object Vladimir Groth
Vladimir Groth was a Russian mathematician known for his contributions to probability theory and statistics.
E956077 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: Vladimir Groth | Statement: [Groth, hasNotableBearer, Vladimir Groth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vladimir Groth
Context triple: [Groth, hasNotableBearer, Vladimir Groth]
  • A. Vladimir Olberg
    Vladimir Olberg was a Russian revolutionary and political activist who became one of the defendants in the 1931 Soviet show trial known as the Trial of the Sixteen.
  • B. Vladimir Volodarsky
    Vladimir Volodarsky was a prominent Bolshevik revolutionary and Soviet political figure active during the early years of the Russian Revolution.
  • C. Vladimir Gelfreikh
    Vladimir Gelfreikh was a Soviet architect known for his prominent Stalinist-era designs and contributions to major state buildings in Moscow.
  • D. Vladimir Kuts
    Vladimir Kuts was a Soviet long-distance runner renowned for winning gold medals in both the 5,000 and 10,000 meters at the 1956 Summer Olympics.
  • E. Vladimir Gittis
    Vladimir Gittis was a Soviet military commander and Red Army officer active during the early years of the Soviet Union.
  • 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: Vladimir Groth
Triple: [Groth, hasNotableBearer, Vladimir Groth]
Generated description
Vladimir Groth was a Russian mathematician known for his contributions to probability theory and statistics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vladimir Groth
Target entity description: Vladimir Groth was a Russian mathematician known for his contributions to probability theory and statistics.
  • A. Vladimir Olberg
    Vladimir Olberg was a Russian revolutionary and political activist who became one of the defendants in the 1931 Soviet show trial known as the Trial of the Sixteen.
  • B. Vladimir Volodarsky
    Vladimir Volodarsky was a prominent Bolshevik revolutionary and Soviet political figure active during the early years of the Russian Revolution.
  • C. Vladimir Gelfreikh
    Vladimir Gelfreikh was a Soviet architect known for his prominent Stalinist-era designs and contributions to major state buildings in Moscow.
  • D. Vladimir Kuts
    Vladimir Kuts was a Soviet long-distance runner renowned for winning gold medals in both the 5,000 and 10,000 meters at the 1956 Summer Olympics.
  • E. Vladimir Gittis
    Vladimir Gittis was a Soviet military commander and Red Army officer active during the early years of the Soviet Union.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9facd5b881909f0569b23f308815 completed April 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4578899ac81908b6e3c8948ca6628 completed May 1, 2026, 7:34 a.m.
NEDg Description generation batch_69f4645a7038819089d7533715f8a430 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f4664ff9608190b23e29b3e5c1c326 completed May 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 8:24 p.m.