Triple

T17073301
Position Surface form Disambiguated ID Type / Status
Subject Susan Kohner E414276 entity
Predicate birthName P65 FINISHED
Object Susanna Kohner E414276 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: Susanna Kohner | Statement: [Susan Kohner, birthName, Susanna Kohner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susanna Kohner
Context triple: [Susan Kohner, birthName, Susanna Kohner]
  • A. Carmen Lasky
    Carmen Lasky is an Australian former violinist best known as the first wife of renowned conductor Zubin Mehta.
  • B. Vida Goldstein
    Vida Goldstein was an Australian suffragist, social reformer, and pacifist leader who was one of the first women in the British Empire to stand for national parliament.
  • C. Yolanda Katz
    Yolanda Katz is an individual honored as a namesake of the Yolanda and David Katz Faculty of the Arts, indicating her significant contributions or patronage to the arts and higher education.
  • D. Eugenia Brin
    Eugenia Brin is the mother of Google co-founder Sergey Brin and a Jewish refugee from the Soviet Union who worked as a research scientist in the United States.
  • E. Susan Kohner chosen
    Susan Kohner is an American former actress best known for her Oscar-nominated role in the 1959 film "Imitation of Life."
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc28fec81909c39d432094d9cdd completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ede108881909ddd0455be53ffac completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.