Triple

T16804356
Position Surface form Disambiguated ID Type / Status
Subject Alexander Prokhorov E408439 entity
Predicate familyName P18 FINISHED
Object Prokhorov
Prokhorov is a Russian surname most notably associated with Nobel Prize–winning physicist Alexander Prokhorov.
 E1235686 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: Prokhorov | Statement: [Alexander Prokhorov, familyName, Prokhorov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prokhorov
Context triple: [Alexander Prokhorov, familyName, Prokhorov]
  • A. Piotrovsky
    Piotrovsky is a Russian surname most prominently associated with Mikhail Piotrovsky, the long-serving director of the State Hermitage Museum in Saint Petersburg.
  • B. Danilov
    Danilov is a Russian masculine surname, from which the feminine form Danilova is derived.
  • C. Gorkovskaya
    Gorkovskaya was the former name of Moscow’s central Tverskaya metro station, reflecting its Soviet-era designation.
  • D. Alexandrovskaya
    Alexandrovskaya is a suburban locality within the Pushkinsky District of Saint Petersburg, Russia, known primarily as a residential settlement.
  • E. Rubtsovsk
    Rubtsovsk is an industrial city in Altai Krai, Russia, known as the birthplace of Raisa Gorbacheva and for its role as a regional agricultural and machinery center.
  • 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: Prokhorov
Triple: [Alexander Prokhorov, familyName, Prokhorov]
Generated description
Prokhorov is a Russian surname most notably associated with Nobel Prize–winning physicist Alexander Prokhorov.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prokhorov
Target entity description: Prokhorov is a Russian surname most notably associated with Nobel Prize–winning physicist Alexander Prokhorov.
  • A. Piotrovsky
    Piotrovsky is a Russian surname most prominently associated with Mikhail Piotrovsky, the long-serving director of the State Hermitage Museum in Saint Petersburg.
  • B. Danilov
    Danilov is a Russian masculine surname, from which the feminine form Danilova is derived.
  • C. Gorkovskaya
    Gorkovskaya was the former name of Moscow’s central Tverskaya metro station, reflecting its Soviet-era designation.
  • D. Alexandrovskaya
    Alexandrovskaya is a suburban locality within the Pushkinsky District of Saint Petersburg, Russia, known primarily as a residential settlement.
  • E. Rubtsovsk
    Rubtsovsk is an industrial city in Altai Krai, Russia, known as the birthplace of Raisa Gorbacheva and for its role as a regional agricultural and machinery center.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2cb68508190a05749bad68f7b43 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b28d3a808190bc94a4f09a10da7e completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b6c7fa8081909792e2607eb1ff73 completed May 10, 2026, 4:48 p.m.
NED2 Entity disambiguation (via description) batch_6a00b762cd3c8190aaf47474f60a6181 completed May 10, 2026, 4:50 p.m.
Created at: April 10, 2026, 5:22 a.m.