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.