Triple
T1593930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syukuro Manabe |
E34235
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Manabe–Wetherald climate model
The Manabe–Wetherald climate model is a pioneering one-dimensional radiative–convective model that first quantified how increasing atmospheric carbon dioxide affects Earth’s temperature and vertical temperature profile.
|
E181508
|
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: Manabe–Wetherald climate model | Statement: [Syukuro Manabe, notableWork, Manabe–Wetherald climate model]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manabe–Wetherald climate model Context triple: [Syukuro Manabe, notableWork, Manabe–Wetherald climate model]
-
A.
Goddard Earth Observing System models
The Goddard Earth Observing System models are a suite of advanced atmospheric and Earth system models used for global weather, climate, and data assimilation research and forecasting.
-
B.
Global Data-processing and Forecasting System
The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
-
C.
Bjerknes compensation
Bjerknes compensation is a climate science concept describing how changes in ocean heat transport tend to be offset by opposite changes in atmospheric heat transport, helping stabilize the total poleward energy flux.
-
D.
Global Climate Observing System
The Global Climate Observing System is an international program that coordinates and supports comprehensive, long-term observations of the Earth’s climate system to underpin climate research, services, and policy.
-
E.
Eocene–Oligocene climate transition
The Eocene–Oligocene climate transition was a major global cooling event around 34 million years ago that marked the shift from a greenhouse to an icehouse Earth, including the formation of large Antarctic ice sheets.
- 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: Manabe–Wetherald climate model Triple: [Syukuro Manabe, notableWork, Manabe–Wetherald climate model]
Generated description
The Manabe–Wetherald climate model is a pioneering one-dimensional radiative–convective model that first quantified how increasing atmospheric carbon dioxide affects Earth’s temperature and vertical temperature profile.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manabe–Wetherald climate model Target entity description: The Manabe–Wetherald climate model is a pioneering one-dimensional radiative–convective model that first quantified how increasing atmospheric carbon dioxide affects Earth’s temperature and vertical temperature profile.
-
A.
Goddard Earth Observing System models
The Goddard Earth Observing System models are a suite of advanced atmospheric and Earth system models used for global weather, climate, and data assimilation research and forecasting.
-
B.
Global Data-processing and Forecasting System
The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
-
C.
Bjerknes compensation
Bjerknes compensation is a climate science concept describing how changes in ocean heat transport tend to be offset by opposite changes in atmospheric heat transport, helping stabilize the total poleward energy flux.
-
D.
Global Climate Observing System
The Global Climate Observing System is an international program that coordinates and supports comprehensive, long-term observations of the Earth’s climate system to underpin climate research, services, and policy.
-
E.
Eocene–Oligocene climate transition
The Eocene–Oligocene climate transition was a major global cooling event around 34 million years ago that marked the shift from a greenhouse to an icehouse Earth, including the formation of large Antarctic ice sheets.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9092aed308190a0198a0fb977a9e5 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46a357d48190aa4151967ce6a947 |
completed | March 8, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_69ad4941fcb08190adfba998bdadd3ef |
completed | March 8, 2026, 10:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad4a05981881908a16c126254c2050 |
completed | March 8, 2026, 10:05 a.m. |
Created at: March 4, 2026, 7:27 p.m.