Triple

T1691902
Position Surface form Disambiguated ID Type / Status
Subject Rudolf E. Kálmán E36567 entity
Predicate familyName P18 FINISHED
Object Kálmán
Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
E191950 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: Kálmán | Statement: [Rudolf E. Kálmán, familyName, Kálmán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kálmán
Context triple: [Rudolf E. Kálmán, familyName, Kálmán]
  • A. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • B. Gábor
    Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
  • C. Károly
    Károly is the Hungarian form of the given name Charles, commonly used as a male first name in Hungary.
  • D. János Gálicz
    János Gálicz was a Hungarian-born military officer who served as a commander in the International Brigades during the Spanish Civil War.
  • E. Pál Kadosa
    Pál Kadosa was a Hungarian pianist, composer, and influential music educator known for his contributions to 20th-century Hungarian classical music.
  • 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: Kálmán
Triple: [Rudolf E. Kálmán, familyName, Kálmán]
Generated description
Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kálmán
Target entity description: Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
  • A. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • B. Gábor
    Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
  • C. Károly
    Károly is the Hungarian form of the given name Charles, commonly used as a male first name in Hungary.
  • D. János Gálicz
    János Gálicz was a Hungarian-born military officer who served as a commander in the International Brigades during the Spanish Civil War.
  • E. Pál Kadosa
    Pál Kadosa was a Hungarian pianist, composer, and influential music educator known for his contributions to 20th-century Hungarian classical music.
  • 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.