Triple

T10818598
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Kaplan E255298 entity
Predicate familyName P18 FINISHED
Object Kaplan E209674 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: Kaplan | Statement: [Jonathan Kaplan, familyName, Kaplan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaplan
Context triple: [Jonathan Kaplan, familyName, Kaplan]
  • A. Kaplan chosen
    Kaplan is a surname most notably associated with Mordecai Kaplan, an influential 20th-century rabbi and theologian who founded Reconstructionist Judaism.
  • B. Kaplan
    Kaplan is a type of adjustable-blade water turbine commonly used in low-head hydroelectric power plants to efficiently generate electricity from flowing water.
  • C. Kaplan, Inc.
    Kaplan, Inc. is a global educational services company best known for its test preparation, professional training, and higher education programs.
  • D. Kaplan University
    Kaplan University was a former U.S.-based for-profit online and campus-based higher education institution offering associate, bachelor’s, and graduate degree programs to working adults.
  • E. Adtalem Global Education
    Adtalem Global Education is a global education provider that owns and operates a portfolio of institutions and training organizations focused on professional and workforce development in fields such as healthcare, business, and technology.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7344866f88190be4addb7c8020fce completed April 9, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8569178481909474e939a3e4c217 completed April 14, 2026, 6:20 p.m.
Created at: April 8, 2026, 9:18 p.m.