Triple
T16860167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles S. Peskin |
E409888
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Immersed boundary method for modeling the heart
The Immersed Boundary Method for modeling the heart is a computational approach developed by Charles S. Peskin that simulates fluid–structure interactions between blood flow and the flexible heart tissue to study cardiac mechanics and function.
|
E1235917
|
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: Immersed boundary method for modeling the heart | Statement: [Charles S. Peskin, notableWork, Immersed boundary method for modeling the heart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Immersed boundary method for modeling the heart Context triple: [Charles S. Peskin, notableWork, Immersed boundary method for modeling the heart]
-
A.
Finite Element Methods for Flow Problems
"Finite Element Methods for Flow Problems" is a foundational textbook that develops and applies finite element techniques to the numerical simulation of fluid flow and related transport phenomena.
-
B.
Reynolds-averaged Navier–Stokes turbulence modeling
Reynolds-averaged Navier–Stokes turbulence modeling is a widely used computational fluid dynamics approach that predicts turbulent flows by averaging the Navier–Stokes equations and modeling the effects of turbulence through closure models.
-
C.
Map of the Human Heart
Map of the Human Heart is a 1992 romantic drama film that follows the life and love of an Inuit boy who grows up to become a World War II bomber navigator.
-
D.
Kraichnan model of passive scalar advection
The Kraichnan model of passive scalar advection is a theoretical framework in turbulence that studies how a passively transported quantity (like temperature or pollutant concentration) evolves in a fluid flow modeled by a Gaussian, white-in-time random velocity field.
-
E.
Krogh model of capillary diffusion
The Krogh model of capillary diffusion is a classic physiological model that describes how oxygen diffuses from capillaries into surrounding tissue, forming the basis for quantitative analysis of microcirculatory oxygen transport.
- 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: Immersed boundary method for modeling the heart Triple: [Charles S. Peskin, notableWork, Immersed boundary method for modeling the heart]
Generated description
The Immersed Boundary Method for modeling the heart is a computational approach developed by Charles S. Peskin that simulates fluid–structure interactions between blood flow and the flexible heart tissue to study cardiac mechanics and function.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Immersed boundary method for modeling the heart Target entity description: The Immersed Boundary Method for modeling the heart is a computational approach developed by Charles S. Peskin that simulates fluid–structure interactions between blood flow and the flexible heart tissue to study cardiac mechanics and function.
-
A.
Finite Element Methods for Flow Problems
"Finite Element Methods for Flow Problems" is a foundational textbook that develops and applies finite element techniques to the numerical simulation of fluid flow and related transport phenomena.
-
B.
Reynolds-averaged Navier–Stokes turbulence modeling
Reynolds-averaged Navier–Stokes turbulence modeling is a widely used computational fluid dynamics approach that predicts turbulent flows by averaging the Navier–Stokes equations and modeling the effects of turbulence through closure models.
-
C.
Map of the Human Heart
Map of the Human Heart is a 1992 romantic drama film that follows the life and love of an Inuit boy who grows up to become a World War II bomber navigator.
-
D.
Kraichnan model of passive scalar advection
The Kraichnan model of passive scalar advection is a theoretical framework in turbulence that studies how a passively transported quantity (like temperature or pollutant concentration) evolves in a fluid flow modeled by a Gaussian, white-in-time random velocity field.
-
E.
Krogh model of capillary diffusion
The Krogh model of capillary diffusion is a classic physiological model that describes how oxygen diffuses from capillaries into surrounding tissue, forming the basis for quantitative analysis of microcirculatory oxygen transport.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b502bc048190baa5a83015407080 |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb274ba48190951acde0821e05a0 |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bb8a6a288190ae442b2e6f021def |
completed | May 10, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc27a1648190b2987c8dd9afc249 |
completed | May 10, 2026, 5:11 p.m. |
Created at: April 10, 2026, 5:24 a.m.