Triple
T1593920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syukuro Manabe |
E34235
|
entity |
| Predicate | coRecipientOfNobelPrizeInPhysics |
P1859
|
FINISHED |
| Object |
Klaus Hasselmann
Klaus Hasselmann is a German oceanographer and climate scientist renowned for developing models that link climate variability to human activity, work that earned him a share of the 2021 Nobel Prize in Physics.
|
E183226
|
NE FINISHED |
How this triple was built (5 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: Klaus Hasselmann | Statement: [Syukuro Manabe, coRecipientOfNobelPrizeInPhysics, Klaus Hasselmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klaus Hasselmann Context triple: [Syukuro Manabe, coRecipientOfNobelPrizeInPhysics, Klaus Hasselmann]
-
A.
Syukuro Manabe
Syukuro Manabe is a Japanese-American climatologist and meteorologist renowned as a pioneer of climate modeling and a co-recipient of the 2021 Nobel Prize in Physics for his work on quantifying the role of greenhouse gases in climate change.
-
B.
Jule Gregory Charney
Jule Gregory Charney was a pioneering American meteorologist and mathematician who laid the foundations of modern numerical weather prediction and large-scale atmospheric dynamics.
-
C.
Vilhelm Bjerknes
Vilhelm Bjerknes was a pioneering Norwegian physicist and meteorologist who laid the foundations of modern weather forecasting through his work on atmospheric dynamics and the Bergen School of Meteorology.
-
D.
Jacob Bjerknes
Jacob Bjerknes was a Norwegian-American meteorologist and physicist renowned for his pioneering work on atmospheric circulation and for elucidating the mechanisms behind the El Niño–Southern Oscillation.
-
E.
James Hansen
James Hansen is a prominent American climate scientist and former NASA researcher known for his early and influential warnings about global warming and advocacy for climate action.
- 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: Klaus Hasselmann Triple: [Syukuro Manabe, coRecipientOfNobelPrizeInPhysics, Klaus Hasselmann]
Generated description
Klaus Hasselmann is a German oceanographer and climate scientist renowned for developing models that link climate variability to human activity, work that earned him a share of the 2021 Nobel Prize in Physics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Klaus Hasselmann Target entity description: Klaus Hasselmann is a German oceanographer and climate scientist renowned for developing models that link climate variability to human activity, work that earned him a share of the 2021 Nobel Prize in Physics.
-
A.
Syukuro Manabe
Syukuro Manabe is a Japanese-American climatologist and meteorologist renowned as a pioneer of climate modeling and a co-recipient of the 2021 Nobel Prize in Physics for his work on quantifying the role of greenhouse gases in climate change.
-
B.
Jule Gregory Charney
Jule Gregory Charney was a pioneering American meteorologist and mathematician who laid the foundations of modern numerical weather prediction and large-scale atmospheric dynamics.
-
C.
Vilhelm Bjerknes
Vilhelm Bjerknes was a pioneering Norwegian physicist and meteorologist who laid the foundations of modern weather forecasting through his work on atmospheric dynamics and the Bergen School of Meteorology.
-
D.
Jacob Bjerknes
Jacob Bjerknes was a Norwegian-American meteorologist and physicist renowned for his pioneering work on atmospheric circulation and for elucidating the mechanisms behind the El Niño–Southern Oscillation.
-
E.
James Hansen
James Hansen is a prominent American climate scientist and former NASA researcher known for his early and influential warnings about global warming and advocacy for climate action.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coRecipientOfNobelPrizeInPhysics Context triple: [Syukuro Manabe, coRecipientOfNobelPrizeInPhysics, Klaus Hasselmann]
-
A.
roleInNobelPrize
Indicates the specific capacity or function an entity had in relation to a particular Nobel Prize (e.g., laureate, nominee, organization, or associated role).
-
B.
NobelPrizeShare
Indicates the proportion or fraction of a Nobel Prize that is allocated to a particular laureate or laureate entity.
-
C.
nobelPrizeRelated
Indicates that there is a connection or association between an entity and the Nobel Prize, such as receiving, being nominated for, or otherwise being significantly linked to it.
-
D.
hasLaureate
Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
-
E.
sharedNobelPrizeWith
chosen
Indicates that two individuals were jointly awarded the same Nobel Prize, sharing the honor for a particular year and category.
- F. None of above.
Provenance (6 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_69a916d413f08190a4e137e5ed262e25 |
completed | March 5, 2026, 5:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51b9c6588190810ede38d9e714e2 |
completed | March 8, 2026, 10:38 a.m. |
| NEDg | Description generation | batch_69ad52d3e4e881908b107f02cd674321 |
completed | March 8, 2026, 10:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad5376fdac819084fa606fc670d531 |
completed | March 8, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69a907bfb39c8190a31e0be14d3d52e6 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.