Triple
T36934474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaynes–Cummings model |
E913573
|
entity |
| Predicate | hasHamiltonian |
P136031
|
FINISHED |
| Object | H = ℏω a†a + ½ℏω₀ σ_z + ℏg (a σ_+ + a† σ_−) |
—
|
LITERAL FINISHED |
How this triple was built (2 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: H = ℏω a†a + ½ℏω₀ σ_z + ℏg (a σ_+ + a† σ_−) | Statement: [Jaynes–Cummings model, hasHamiltonian, H = ℏω a†a + ½ℏω₀ σ_z + ℏg (a σ_+ + a† σ_−)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHamiltonian Context triple: [Jaynes–Cummings model, hasHamiltonian, H = ℏω a†a + ½ℏω₀ σ_z + ℏg (a σ_+ + a† σ_−)]
-
A.
HamiltonianContains
chosen
Indicates that a given Hamiltonian operator includes a specified term, component, or interaction within its mathematical expression.
-
B.
hasHomomorphism
Indicates that there exists a structure-preserving map (homomorphism) from one mathematical structure to another.
-
C.
hasPolynomialTimeAlgorithm
Indicates that there exists an algorithm for the given problem or task whose running time is bounded by a polynomial function of the size of its input.
-
D.
hasArc
Indicates that there is a directed connection or edge from one entity to another, often representing a link in a graph or network.
-
E.
isCyclic
Indicates that a structure, process, or sequence forms a closed loop in which elements or states repeat in a cycle.
- F. None of above.
Provenance (3 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_69f76e896c988190880c130e01303dd4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fdf4bacc8190ae07e2b96197f2a0 |
completed | May 5, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.