Triple

T22538021
Position Surface form Disambiguated ID Type / Status
Subject Sári Gábor E557206 entity
Predicate spouse P13 FINISHED
Object Herbert Hutner NE NERFINISHED

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: Herbert Hutner | Statement: [Sári Gábor, spouse, Herbert Hutner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herbert Hutner
Context triple: [Sári Gábor, spouse, Herbert Hutner]
  • A. Herbert Hutner chosen
    Herbert Hutner was an American lawyer, investment banker, and philanthropist known for his work in finance and the arts, as well as his high-profile marriage to actress Zsa Zsa Gabor.
  • B. Herbert Rosenfeld
    Herbert Rosenfeld was a prominent British psychoanalyst known for his pioneering work on severe psychopathology, particularly psychosis and narcissism, within the Kleinian tradition.
  • C. Herbert Steiner
    Herbert Steiner is an individual notable enough to be specifically distinguished among people sharing the surname Steiner.
  • D. Stanley Hirshson
    Stanley Hirshson was an American historian and biographer known for his scholarly works on major figures in U.S. history.
  • E. Hans P. Kraus
    Hans P. Kraus was a prominent 20th-century antiquarian book dealer and collector known for handling some of the world's rarest manuscripts and early printed books.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f2f671c8190b7a7d9b6d0d64a9b completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.