Triple

T8847424
Position Surface form Disambiguated ID Type / Status
Subject Katalin Rényi E210540 entity
Predicate spouse P13 FINISHED
Object Alfréd Rényi E40505 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: Alfréd Rényi | Statement: [Katalin Rényi, spouse, Alfréd Rényi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfréd Rényi
Context triple: [Katalin Rényi, spouse, Alfréd Rényi]
  • A. Alfréd Rényi chosen
    Alfréd Rényi was a Hungarian mathematician renowned for his influential work in probability theory, information theory, and number theory.
  • B. Pál Turán
    Pál Turán was a Hungarian mathematician renowned for his influential work in number theory and combinatorics, including the development of Turán's theorem in extremal graph theory.
  • C. Béla Szőkefalvi-Nagy
    Béla Szőkefalvi-Nagy was a Hungarian mathematician renowned for his contributions to functional analysis and operator theory.
  • D. Pál Kalmár
    Pál Kalmár was a Hungarian singer best known for his early and influential recording of the melancholic song "Gloomy Sunday."
  • E. Pólya György
    Pólya György was a Hungarian mathematician renowned for his work in problem solving, combinatorics, and mathematical education, and for authoring the classic book "How to Solve It."
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60a9194c8190bdfefc55a8fb29a3 completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd07d7214819083eb74a5a1a4af2a completed April 3, 2026, 2:36 p.m.
Created at: March 30, 2026, 6:49 p.m.