Triple
T26864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Feynman |
E538
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Feynman diagrams
Feynman diagrams are graphical representations used in quantum field theory to visualize and calculate particle interactions and processes.
|
E2030
|
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: Feynman diagrams | Statement: [Richard Feynman, knownFor, Feynman diagrams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feynman diagrams Context triple: [Richard Feynman, knownFor, Feynman diagrams]
-
A.
Oppenheimer–Phillips process
The Oppenheimer–Phillips process is a nuclear reaction mechanism in which a deuteron interacting with a target nucleus effectively transfers its neutron while the proton is repelled, enabling certain reactions to occur at lower energies than would otherwise be required.
-
B.
Richard Feynman
Richard Feynman was a pioneering American theoretical physicist renowned for his work in quantum electrodynamics, his influential teaching, and his popular science writings.
-
C.
Oppenheimer–Snyder model
The Oppenheimer–Snyder model is a pioneering theoretical description of gravitational collapse in general relativity, providing one of the first rigorous treatments of how a massive star can form a black hole.
-
D.
Differential analyzer
The Differential Analyzer is an early analog mechanical computer designed to solve differential equations using interconnected rotating shafts and wheels.
-
E.
Fourier analysis
Fourier analysis is a mathematical method for decomposing functions or signals into sums of sinusoidal components, widely used in fields such as signal processing, physics, and engineering.
- 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: Feynman diagrams Triple: [Richard Feynman, knownFor, Feynman diagrams]
Generated description
Feynman diagrams are graphical representations used in quantum field theory to visualize and calculate particle interactions and processes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Feynman diagrams Target entity description: Feynman diagrams are graphical representations used in quantum field theory to visualize and calculate particle interactions and processes.
-
A.
Feynman Lectures on Physics
Feynman Lectures on Physics is a renowned three-volume introductory physics textbook based on Richard Feynman’s legendary Caltech lectures, celebrated for its clarity, depth, and engaging style.
-
B.
Feynman–Hellmann theorem
The Feynman–Hellmann theorem is a result in quantum mechanics that relates the derivative of an energy eigenvalue with respect to a parameter in the Hamiltonian to the expectation value of the corresponding derivative of the Hamiltonian.
-
C.
Einstein coefficients
Einstein coefficients are parameters in quantum theory that quantify the probabilities of absorption, spontaneous emission, and stimulated emission of radiation by atoms or molecules.
-
D.
Feynman sprinkler problem
The Feynman sprinkler problem is a famous physics thought experiment that examines how a submerged, water-aspirating sprinkler would move, highlighting subtleties in fluid dynamics and momentum conservation.
-
E.
Einstein field equations
The Einstein field equations are the core mathematical framework of general relativity, relating the curvature of spacetime to the distribution of matter and energy.
- 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a246776cf48190aca9855cb07e8d89 |
completed | Feb. 28, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a248e88e588190a704e7b83d3dc07c |
completed | Feb. 28, 2026, 1:46 a.m. |
| NEDg | Description generation | batch_69a24c29bf64819087a7b51e8a94c278 |
completed | Feb. 28, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a24cb52c9c8190a27dcb969b989649 |
completed | Feb. 28, 2026, 2:02 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.