Triple

T5956102
Position Surface form Disambiguated ID Type / Status
Subject Polányi Mihály E132518 entity
Predicate familyName P18 FINISHED
Object Polányi E132518 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: Polányi | Statement: [Polányi Mihály, familyName, Polányi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polányi
Context triple: [Polányi Mihály, familyName, Polányi]
  • A. Polányi Mihály chosen
    Polányi Mihály was a Hungarian-British polymath known for his influential work in physical chemistry, philosophy of science, and the concept of tacit knowledge.
  • B. Lajos Pósa
    Lajos Pósa is a Hungarian mathematician known for his contributions to combinatorics and graph theory, as well as for his influential work in mathematics education.
  • C. Adolf Polanyi
    Adolf Polanyi was a member of the notable Hungarian Polanyi family, which produced several influential intellectuals and academics in the late 19th and early 20th centuries.
  • D. Ferenc Gyulay
    Ferenc Gyulay was an Austrian Imperial general of Hungarian origin best known for leading Austrian forces during the early stages of the Second Italian War of Independence in 1859.
  • E. K. Sarneczky
    K. Sarneczky is an astronomer known for discovering the trans-Neptunian object Varuna.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c1de80819085c97a0aa2d37f32 completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3dd99888190ac3eeef692a7d879 completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:02 p.m.