Triple

T1496986
Position Surface form Disambiguated ID Type / Status
Subject Klaus Fuchs E29709 entity
Predicate familyName P18 FINISHED
Object Fuchs
Fuchs is a German surname borne by numerous notable individuals across fields such as science, politics, and the arts.
 E172853 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: Fuchs | Statement: [Klaus Fuchs, familyName, Fuchs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fuchs
Context triple: [Klaus Fuchs, familyName, Fuchs]
  • A. Fuhse
    Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
  • B. Foege
    Foege is the surname of William H. Foege, an American epidemiologist renowned for his pivotal role in the global eradication of smallpox.
  • C. Ficker
    Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
  • D. Felix
    Felix is a masculine given name of Latin origin meaning "happy" or "fortunate," borne by numerous historical and contemporary figures.
  • E. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • 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: Fuchs
Triple: [Klaus Fuchs, familyName, Fuchs]
Generated description
Fuchs is a German surname borne by numerous notable individuals across fields such as science, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fuchs
Target entity description: Fuchs is a German surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • A. Fuhse
    Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
  • B. Foege
    Foege is the surname of William H. Foege, an American epidemiologist renowned for his pivotal role in the global eradication of smallpox.
  • C. Ficker
    Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
  • D. Felix
    Felix is a masculine given name of Latin origin meaning "happy" or "fortunate," borne by numerous historical and contemporary figures.
  • E. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6edca248190a90205799b270058 completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad2331b49881908672251bb86418df completed March 8, 2026, 7:20 a.m.
NEDg Description generation batch_69ad23d86d088190bbea03d5d49bc009 completed March 8, 2026, 7:23 a.m.
NED2 Entity disambiguation (via description) batch_69ad2459c38c8190a8c166c2743a8936 completed March 8, 2026, 7:25 a.m.
Created at: March 1, 2026, 8:12 p.m.