Triple

T12070515
Position Surface form Disambiguated ID Type / Status
Subject f(R) gravity E287409 entity
Predicate hasExample P1259 FINISHED
Object Appleby–Battye f(R) model
The Appleby–Battye f(R) model is a specific modified gravity theory within the f(R) framework proposed by Appleby and Battye to explain cosmic acceleration without invoking a traditional cosmological constant.
E967356 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: Appleby–Battye f(R) model | Statement: [f(R) gravity, hasExample, Appleby–Battye f(R) model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Appleby–Battye f(R) model
Context triple: [f(R) gravity, hasExample, Appleby–Battye f(R) model]
  • A. 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.
  • B. 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.
  • C. Bardeen–Stephen model
    The Bardeen–Stephen model is a theoretical framework in superconductivity that describes the motion and dissipation of energy by magnetic flux vortices in type-II superconductors.
  • D. 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.
  • E. 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.
  • 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: Appleby–Battye f(R) model
Triple: [f(R) gravity, hasExample, Appleby–Battye f(R) model]
Generated description
The Appleby–Battye f(R) model is a specific modified gravity theory within the f(R) framework proposed by Appleby and Battye to explain cosmic acceleration without invoking a traditional cosmological constant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Appleby–Battye f(R) model
Target entity description: The Appleby–Battye f(R) model is a specific modified gravity theory within the f(R) framework proposed by Appleby and Battye to explain cosmic acceleration without invoking a traditional cosmological constant.
  • A. 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.
  • B. 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.
  • C. Bardeen–Stephen model
    The Bardeen–Stephen model is a theoretical framework in superconductivity that describes the motion and dissipation of energy by magnetic flux vortices in type-II superconductors.
  • D. 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.
  • E. 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.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9045a507081909070ea37173d6f97 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f65ccc788190942e16c56f2a495f completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f60335285c819089f69472b2e48130 completed May 2, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f60410ce0481908b2deb7522a3ec00 completed May 2, 2026, 2:02 p.m.
Created at: April 8, 2026, 9:48 p.m.