Triple

T9225524
Position Surface form Disambiguated ID Type / Status
Subject Peter Serkin E221672 entity
Predicate mother P120 FINISHED
Object Irene Serkin E758920 NE FINISHED

How this triple was built (2 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: Irene Serkin | Statement: [Peter Serkin, mother, Irene Serkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irene Serkin
Context triple: [Peter Serkin, mother, Irene Serkin]
  • A. Irene Busch Serkin chosen
    Irene Busch Serkin was the wife of renowned pianist Rudolf Serkin and a member of the prominent Busch–Serkin musical family.
  • B. Hephzibah Menuhin
    Hephzibah Menuhin was an acclaimed Australian-born concert pianist and humanitarian, noted for her distinguished international performing career and social activism.
  • C. Josepha Heifetz Byrne
    Josepha Heifetz Byrne is an American editor and author, known both for her literary work and as the daughter of legendary violinist Jascha Heifetz.
  • D. Chaja Rubinstein
    Chaja Rubinstein, better known as Helena Rubinstein, was a pioneering Polish-American businesswoman who founded one of the world’s first global cosmetics empires.
  • E. Soon-Yi Previn
    Soon-Yi Previn is the adopted daughter of Mia Farrow who became widely known for her long-term relationship and subsequent marriage to filmmaker Woody Allen.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda9dbd1481909f35a4bee8e0b450 completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d066521f288190a54b1199284db7a4 completed April 4, 2026, 1:16 a.m.
Created at: March 30, 2026, 7:28 p.m.