Triple

T1691939
Position Surface form Disambiguated ID Type / Status
Subject Rudolf E. Kálmán E36567 entity
Predicate memberOf P10 FINISHED
Object Hungarian Academy of Sciences
The Hungarian Academy of Sciences is Hungary’s foremost scholarly institution, responsible for supporting and coordinating scientific research and representing the country’s academic community.
E191954 NE FINISHED

How this triple was built (4 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: Hungarian Academy of Sciences | Statement: [Rudolf E. Kálmán, memberOf, Hungarian Academy of Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hungarian Academy of Sciences
Context triple: [Rudolf E. Kálmán, memberOf, Hungarian Academy of Sciences]
  • A. University of Budapest
    The University of Budapest is a historic Hungarian higher education institution known for producing prominent scholars, including mathematician John von Neumann.
  • B. Austrian Academy of Sciences
    The Austrian Academy of Sciences is Austria’s leading national learned society and research institution, encompassing a wide range of disciplines in the humanities, social sciences, and natural sciences.
  • C. Hungarian Research Centre for Linguistics
    The Hungarian Research Centre for Linguistics is a leading Hungarian academic institution dedicated to the scientific study, documentation, and standardization of the Hungarian language and related linguistic fields.
  • D. Prussian Academy of Sciences
    The Prussian Academy of Sciences was a prestigious Berlin-based learned society and research institution that became one of Europe’s leading centers for scientific and philosophical scholarship in the 18th to early 20th centuries.
  • E. German National Academy of Sciences Leopoldina
    The German National Academy of Sciences Leopoldina is Germany’s foremost national academy of sciences, renowned for uniting leading researchers across disciplines and advising government and society on key scientific issues.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hungarian Academy of Sciences
Triple: [Rudolf E. Kálmán, memberOf, Hungarian Academy of Sciences]
Generated description
The Hungarian Academy of Sciences is Hungary’s foremost scholarly institution, responsible for supporting and coordinating scientific research and representing the country’s academic community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hungarian Academy of Sciences
Target entity description: The Hungarian Academy of Sciences is Hungary’s foremost scholarly institution, responsible for supporting and coordinating scientific research and representing the country’s academic community.
  • A. University of Budapest
    The University of Budapest is a historic Hungarian higher education institution known for producing prominent scholars, including mathematician John von Neumann.
  • B. Austrian Academy of Sciences
    The Austrian Academy of Sciences is Austria’s leading national learned society and research institution, encompassing a wide range of disciplines in the humanities, social sciences, and natural sciences.
  • C. Hungarian Research Centre for Linguistics
    The Hungarian Research Centre for Linguistics is a leading Hungarian academic institution dedicated to the scientific study, documentation, and standardization of the Hungarian language and related linguistic fields.
  • D. Prussian Academy of Sciences
    The Prussian Academy of Sciences was a prestigious Berlin-based learned society and research institution that became one of Europe’s leading centers for scientific and philosophical scholarship in the 18th to early 20th centuries.
  • E. Heidelberg Academy of Sciences and Humanities
    The Heidelberg Academy of Sciences and Humanities is a prestigious German learned society based in Heidelberg that promotes advanced research across the sciences and humanities.
  • F. None of above. chosen

Provenance (5 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b097488190907e3bce234e3c77 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad7996a39481909152a6a799659c93 completed March 8, 2026, 1:28 p.m.
NEDg Description generation batch_69ad7bd602e4819093768853da8f506c completed March 8, 2026, 1:38 p.m.
NED2 Entity disambiguation (via description) batch_69ad8200103c81908e0b3d134b291409 completed March 8, 2026, 2:04 p.m.
Created at: March 4, 2026, 7:29 p.m.