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.