Triple

T1478710
Position Surface form Disambiguated ID Type / Status
Subject Peter Kapitza E30900 entity
Predicate spouse P13 FINISHED
Object Anna Krylova
Anna Krylova was the wife of Nobel Prize–winning Soviet physicist Peter Kapitza.
E178066 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: Anna Krylova | Statement: [Peter Kapitza, spouse, Anna Krylova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Krylova
Context triple: [Peter Kapitza, spouse, Anna Krylova]
  • A. Tatyana Ovechkina
    Tatyana Ovechkina is a former Soviet Olympic champion basketball player and the mother of NHL star Alex Ovechkin.
  • B. Elena Bashkirova
    Elena Bashkirova is a Russian-born pianist and renowned chamber musician who is also the founder and artistic director of the Jerusalem International Chamber Music Festival.
  • C. Galina Burdonskaya
    Galina Burdonskaya was a Soviet woman best known as the wife of Vasily Stalin, the son of Soviet leader Joseph Stalin.
  • D. Svetlana Vasilyeva
    Svetlana Vasilyeva is known primarily as the daughter of Vasily Stalin, making her a granddaughter of Soviet leader Joseph Stalin.
  • E. Lidia Alexeeva
    Lidia Alexeeva was a legendary Soviet basketball coach renowned for leading the USSR women’s national team to multiple Olympic and World Championship titles and is regarded as one of the greatest coaches in women’s basketball history.
  • 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: Anna Krylova
Triple: [Peter Kapitza, spouse, Anna Krylova]
Generated description
Anna Krylova was the wife of Nobel Prize–winning Soviet physicist Peter Kapitza.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anna Krylova
Target entity description: Anna Krylova was the wife of Nobel Prize–winning Soviet physicist Peter Kapitza.
  • A. Tatyana Ovechkina
    Tatyana Ovechkina is a former Soviet Olympic champion basketball player and the mother of NHL star Alex Ovechkin.
  • B. Elena Bashkirova
    Elena Bashkirova is a Russian-born pianist and renowned chamber musician who is also the founder and artistic director of the Jerusalem International Chamber Music Festival.
  • C. Galina Burdonskaya
    Galina Burdonskaya was a Soviet woman best known as the wife of Vasily Stalin, the son of Soviet leader Joseph Stalin.
  • D. Svetlana Vasilyeva
    Svetlana Vasilyeva is known primarily as the daughter of Vasily Stalin, making her a granddaughter of Soviet leader Joseph Stalin.
  • E. Lidia Alexeeva
    Lidia Alexeeva was a legendary Soviet basketball coach renowned for leading the USSR women’s national team to multiple Olympic and World Championship titles and is regarded as one of the greatest coaches in women’s basketball history.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c6739d2481909ea8d8e075f62cf3 completed March 1, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36ffd8808190894f2139ae12204e completed March 8, 2026, 8:44 a.m.
NEDg Description generation batch_69ad38dd6e98819082ceba12e9280963 completed March 8, 2026, 8:52 a.m.
NED2 Entity disambiguation (via description) batch_69ad3a71919c8190822efc93501f15ef completed March 8, 2026, 8:59 a.m.
Created at: March 1, 2026, 8:11 p.m.