Triple

T3794967
Position Surface form Disambiguated ID Type / Status
Subject William Karush E89747 entity
Predicate familyName P18 FINISHED
Object Karush
Karush is a surname most notably associated with William Karush, an American mathematician known for his early work on what became the Karush–Kuhn–Tucker conditions in optimization theory.
 E388569 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: Karush | Statement: [William Karush, familyName, Karush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Karush
Context triple: [William Karush, familyName, Karush]
  • A. Karu
    Karu is a local government area in Nasarawa State, Nigeria, known for its proximity to Abuja and rapid urban growth as a residential and commercial hub.
  • B. Kare
    Kare is an alternate name for the Cari language, an indigenous language of the Cariban family spoken in parts of South America.
  • C. Kashshaya
    Kashshaya was a Neo-Babylonian royal woman known primarily as the wife of King Amel-Marduk.
  • D. Kashmore
    Kashmore is a town in Pakistan’s Sindh province that serves as a regional hub near the Guddu Barrage on the Indus River.
  • E. Karns
    Karns is an unincorporated suburban community in Knox County, Tennessee, situated within the Knoxville metropolitan area.
  • 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: Karush
Triple: [William Karush, familyName, Karush]
Generated description
Karush is a surname most notably associated with William Karush, an American mathematician known for his early work on what became the Karush–Kuhn–Tucker conditions in optimization theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Karush
Target entity description: Karush is a surname most notably associated with William Karush, an American mathematician known for his early work on what became the Karush–Kuhn–Tucker conditions in optimization theory.
  • A. Karu
    Karu is a local government area in Nasarawa State, Nigeria, known for its proximity to Abuja and rapid urban growth as a residential and commercial hub.
  • B. Kare
    Kare is an alternate name for the Cari language, an indigenous language of the Cariban family spoken in parts of South America.
  • C. Kashshaya
    Kashshaya was a Neo-Babylonian royal woman known primarily as the wife of King Amel-Marduk.
  • D. Kashmore
    Kashmore is a town in Pakistan’s Sindh province that serves as a regional hub near the Guddu Barrage on the Indus River.
  • E. Karns
    Karns is an unincorporated suburban community in Knox County, Tennessee, situated within the Knoxville metropolitan area.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee79db2e88190b3aa2b8e8d885e19 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05c0f908190b5638e75b06dab4d completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f173d66881909301bfc45d10b3d1 completed March 14, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b4f1ecdd788190aebea36578923fad completed March 14, 2026, 5:28 a.m.
Created at: March 9, 2026, 3:15 p.m.