Triple
T14849777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pietro Secchi |
E349195
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Secchi classes of stellar spectra
Secchi classes of stellar spectra are an early system of classifying stars based on the patterns in their light spectra, developed by astronomer Pietro Secchi and foundational to modern stellar classification.
|
E1123805
|
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: Secchi classes of stellar spectra | Statement: [Pietro Secchi, knownFor, Secchi classes of stellar spectra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Secchi classes of stellar spectra Context triple: [Pietro Secchi, knownFor, Secchi classes of stellar spectra]
-
A.
Harvard spectral classification of stars
The Harvard spectral classification of stars is an early 20th-century system that categorizes stars by their spectral characteristics and surface temperatures into types O, B, A, F, G, K, and M, forming the basis of modern stellar classification.
-
B.
On the Relations between the Spectra and Other Characteristics of the Stars
"On the Relations between the Spectra and Other Characteristics of the Stars" is a landmark 1914 paper by Henry Norris Russell that helped establish the relationship between stellar spectral type, luminosity, and other properties, laying groundwork for the Hertzsprung–Russell diagram and modern stellar astrophysics.
-
C.
Fundamental catalogue of stars
Fundamental Catalogue of Stars is a major 19th-century astronomical star catalog compiled under the direction of Arthur Auwers, providing highly accurate positions and motions for thousands of stars.
-
D.
Stellar Atmospheres, A Contribution to the Observational Study of High Temperature in the Reversing Layers of Stars
"Stellar Atmospheres, A Contribution to the Observational Study of High Temperature in the Reversing Layers of Stars" is the groundbreaking 1925 doctoral thesis in which Cecilia Payne-Gaposchkin demonstrated that stars are composed primarily of hydrogen and helium, fundamentally transforming astrophysics.
-
E.
Kirchhoff's three laws of spectroscopy
Kirchhoff's three laws of spectroscopy are foundational principles in physics that explain how continuous, emission, and absorption spectra arise from interactions between matter and radiation.
- 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: Secchi classes of stellar spectra Triple: [Pietro Secchi, knownFor, Secchi classes of stellar spectra]
Generated description
Secchi classes of stellar spectra are an early system of classifying stars based on the patterns in their light spectra, developed by astronomer Pietro Secchi and foundational to modern stellar classification.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Secchi classes of stellar spectra Target entity description: Secchi classes of stellar spectra are an early system of classifying stars based on the patterns in their light spectra, developed by astronomer Pietro Secchi and foundational to modern stellar classification.
-
A.
Harvard spectral classification of stars
The Harvard spectral classification of stars is an early 20th-century system that categorizes stars by their spectral characteristics and surface temperatures into types O, B, A, F, G, K, and M, forming the basis of modern stellar classification.
-
B.
On the Relations between the Spectra and Other Characteristics of the Stars
"On the Relations between the Spectra and Other Characteristics of the Stars" is a landmark 1914 paper by Henry Norris Russell that helped establish the relationship between stellar spectral type, luminosity, and other properties, laying groundwork for the Hertzsprung–Russell diagram and modern stellar astrophysics.
-
C.
Fundamental catalogue of stars
Fundamental Catalogue of Stars is a major 19th-century astronomical star catalog compiled under the direction of Arthur Auwers, providing highly accurate positions and motions for thousands of stars.
-
D.
Stellar Atmospheres, A Contribution to the Observational Study of High Temperature in the Reversing Layers of Stars
"Stellar Atmospheres, A Contribution to the Observational Study of High Temperature in the Reversing Layers of Stars" is the groundbreaking 1925 doctoral thesis in which Cecilia Payne-Gaposchkin demonstrated that stars are composed primarily of hydrogen and helium, fundamentally transforming astrophysics.
-
E.
Kirchhoff's three laws of spectroscopy
Kirchhoff's three laws of spectroscopy are foundational principles in physics that explain how continuous, emission, and absorption spectra arise from interactions between matter and radiation.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded43eee188190bf24dc475b3abe28 |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6504ac6081908074231cf628fd39 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe65f41df08190ae7eee3b0235faf6 |
completed | May 8, 2026, 10:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe66f7b5a48190b5d31ac38e7300f9 |
completed | May 8, 2026, 10:43 p.m. |
Created at: April 10, 2026, 1:54 a.m.