Triple

T4716360
Position Surface form Disambiguated ID Type / Status
Subject John Polanyi E104647 entity
Predicate hasSurname P18 FINISHED
Object Polanyi E464521 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: Polanyi | Statement: [John Polanyi, hasSurname, Polanyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polanyi
Context triple: [John Polanyi, hasSurname, Polanyi]
  • A. Polanyi chosen
    Polanyi is a surname most notably associated with a family of influential scholars, including physical chemist and Nobel laureate John Polanyi and philosopher-economist Michael Polanyi.
  • B. 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.
  • C. Anne Polanyi
    Anne Polanyi is known as the wife of Nobel Prize–winning chemist John Polanyi.
  • D. Michael Polanyi
    Michael Polanyi was a Hungarian-British polymath and philosopher of science known for his critique of positivism and his influential concept of tacit knowledge.
  • E. Elizabeth Boody Schumpeter
    Elizabeth Boody Schumpeter was an American economic historian and editor known for preserving and publishing the works of her husband, economist Joseph Schumpeter.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd640a32ec8190850146957885c3cf completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39f7316c8190a6ecd65b707d3fbe completed March 21, 2026, 6:25 a.m.
Created at: March 20, 2026, 1:18 p.m.