Triple

T787777
Position Surface form Disambiguated ID Type / Status
Subject Mark Kac E16842 entity
Predicate familyName P18 FINISHED
Object Kac
Kac is a surname most notably associated with Polish-American mathematician Mark Kac, known for his work in probability theory and mathematical physics.
 E92905 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: Kac | Statement: [Mark Kac, familyName, Kac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kac
Context triple: [Mark Kac, familyName, Kac]
  • A. Kashiwara
    Kashiwara is a city in Osaka Prefecture, Japan, known as a suburban residential and commercial area within the Kansai region’s rail network.
  • B. Kato
    Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
  • C. Koch
    Koch is a German surname most famously associated with Robert Koch, the pioneering microbiologist who discovered the causative agents of tuberculosis and cholera.
  • D. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • E. Kasha Kropinski
    Kasha Kropinski is a South African-born actress best known for her role as Ruth Cole on the American Western television series "Hell on Wheels."
  • 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: Kac
Triple: [Mark Kac, familyName, Kac]
Generated description
Kac is a surname most notably associated with Polish-American mathematician Mark Kac, known for his work in probability theory and mathematical physics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kac
Target entity description: Kac is a surname most notably associated with Polish-American mathematician Mark Kac, known for his work in probability theory and mathematical physics.
  • A. Kashiwara
    Kashiwara is a city in Osaka Prefecture, Japan, known as a suburban residential and commercial area within the Kansai region’s rail network.
  • B. Kato
    Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
  • C. Koch
    Koch is a German surname most famously associated with Robert Koch, the pioneering microbiologist who discovered the causative agents of tuberculosis and cholera.
  • D. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • E. Kasha Kropinski
    Kasha Kropinski is a South African-born actress best known for her role as Ruth Cole on the American Western television series "Hell on Wheels."
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a78171908190a38a70274bfbebf9 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6733e47148190bad0ac71cf45dd85 completed March 3, 2026, 5:35 a.m.
NEDg Description generation batch_69a673afbd308190863aea2ff0f650cb completed March 3, 2026, 5:37 a.m.
NED2 Entity disambiguation (via description) batch_69a6743f50d0819089885836b9668466 completed March 3, 2026, 5:40 a.m.
Created at: March 1, 2026, 7:38 p.m.