Triple

T2543219
Position Surface form Disambiguated ID Type / Status
Subject Anne Polanyi E57834 entity
Predicate name P16 FINISHED
Object Anne Polanyi E57834 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: Anne Polanyi | Statement: [Anne Polanyi, name, Anne Polanyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Polanyi
Context triple: [Anne Polanyi, name, Anne Polanyi]
  • A. Anne Polanyi chosen
    Anne Polanyi is known as the wife of Nobel Prize–winning chemist John Polanyi.
  • B. Magda Elizabeth Polanyi
    Magda Elizabeth Polanyi is the daughter of Nobel Prize–winning chemist John Polanyi, belonging to the prominent Polanyi family known for its contributions to science and philosophy.
  • C. Laura Polanyi
    Laura Polanyi was a Hungarian historian and sociologist known for her work on economic and social history and as a member of the prominent Polanyi intellectual family.
  • D. Karl Polanyi
    Karl Polanyi was a Hungarian economic historian and social theorist best known for his influential work "The Great Transformation," which critiqued market liberalism and analyzed the social and political origins of modern capitalist economies.
  • E. Robert Fogel
    Robert Fogel was a Nobel Prize–winning economic historian known for applying quantitative, Chicago School–style economic analysis to historical questions such as the economics of slavery and railroads.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2bf6cac819083a9ab9d041d8641 completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d073d2c81908c769a99b0942089 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:47 p.m.