Triple

T6683307
Position Surface form Disambiguated ID Type / Status
Subject Motoo Kimura E152038 entity
Predicate knownFor P22 FINISHED
Object Kimura two-parameter model
The Kimura two-parameter model is a foundational mathematical model in molecular evolution that describes DNA sequence change by distinguishing between transition and transversion substitution rates.
E612268 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: Kimura two-parameter model | Statement: [Motoo Kimura, knownFor, Kimura two-parameter model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kimura two-parameter model
Context triple: [Motoo Kimura, knownFor, Kimura two-parameter model]
  • A. Charney equation
    The Charney equation is a fundamental quasi-geostrophic equation in atmospheric dynamics that describes large-scale Rossby waves and mid-latitude weather patterns on a rotating planet.
  • B. Sakata model
    The Sakata model is an early composite model of hadrons that proposed protons, neutrons, and lambda particles as fundamental building blocks, anticipating key ideas later formalized in the quark model.
  • C. Darwin–Fowler method
    The Darwin–Fowler method is a statistical mechanics technique that uses complex analysis and generating functions to derive distribution laws for systems of many particles.
  • D. Goodman–Martínez–Thompson correlation
    The Goodman–Martínez–Thompson correlation is the most widely accepted scholarly conversion formula that aligns dates in the ancient Maya Long Count calendar with the Gregorian calendar.
  • E. Modigliani–Brumberg model
    The Modigliani–Brumberg model is an economic life-cycle theory explaining how individuals plan consumption and saving over their lifetimes to smooth living standards despite changing income.
  • 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: Kimura two-parameter model
Triple: [Motoo Kimura, knownFor, Kimura two-parameter model]
Generated description
The Kimura two-parameter model is a foundational mathematical model in molecular evolution that describes DNA sequence change by distinguishing between transition and transversion substitution rates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kimura two-parameter model
Target entity description: The Kimura two-parameter model is a foundational mathematical model in molecular evolution that describes DNA sequence change by distinguishing between transition and transversion substitution rates.
  • A. Charney equation
    The Charney equation is a fundamental quasi-geostrophic equation in atmospheric dynamics that describes large-scale Rossby waves and mid-latitude weather patterns on a rotating planet.
  • B. Sakata model
    The Sakata model is an early composite model of hadrons that proposed protons, neutrons, and lambda particles as fundamental building blocks, anticipating key ideas later formalized in the quark model.
  • C. Darwin–Fowler method
    The Darwin–Fowler method is a statistical mechanics technique that uses complex analysis and generating functions to derive distribution laws for systems of many particles.
  • D. Goodman–Martínez–Thompson correlation
    The Goodman–Martínez–Thompson correlation is the most widely accepted scholarly conversion formula that aligns dates in the ancient Maya Long Count calendar with the Gregorian calendar.
  • E. Modigliani–Brumberg model
    The Modigliani–Brumberg model is an economic life-cycle theory explaining how individuals plan consumption and saving over their lifetimes to smooth living standards despite changing income.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b122df14819082068af37611b691 completed March 27, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7ac6714819081966dea66b590c1 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6fa1afd7081908c45b5a4f1f4d117 completed March 27, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69c6faa38df0819095d1479ccab03c56 completed March 27, 2026, 9:46 p.m.
Created at: March 27, 2026, 2:04 p.m.