Triple

T8209564
Position Surface form Disambiguated ID Type / Status
Subject Fehr E191778 entity
Predicate hasNotableBearer P458 FINISHED
Object Samuel Fehr
Samuel Fehr is a notable individual who shares the surname Fehr, recognized among the distinguished bearers of that name.
E720452 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: Samuel Fehr | Statement: [Fehr, hasNotableBearer, Samuel Fehr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Fehr
Context triple: [Fehr, hasNotableBearer, Samuel Fehr]
  • A. Michael Schaefer
    Michael Schaefer is a film and television producer known for his executive production work on projects such as the series "Swarm."
  • B. Franz Schilling
    Franz Schilling was a Nazi physician prosecuted in the post–World War II Doctors' Trial for his involvement in unethical and criminal medical experiments.
  • C. Samuel Fischer
    Samuel Fischer was a prominent German publisher best known for founding the influential S. Fischer Verlag, which played a key role in modern German literature.
  • D. Rudi Fehr
    Rudi Fehr was a German-born American film editor known for his work on numerous Hollywood films from the 1940s through the 1970s.
  • E. Samuel Bischoff
    Samuel Bischoff was an American film producer active during Hollywood’s studio era, known for overseeing numerous features across major studios such as Warner Bros. and Columbia Pictures.
  • 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: Samuel Fehr
Triple: [Fehr, hasNotableBearer, Samuel Fehr]
Generated description
Samuel Fehr is a notable individual who shares the surname Fehr, recognized among the distinguished bearers of that name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samuel Fehr
Target entity description: Samuel Fehr is a notable individual who shares the surname Fehr, recognized among the distinguished bearers of that name.
  • A. Michael Schaefer
    Michael Schaefer is a film and television producer known for his executive production work on projects such as the series "Swarm."
  • B. Franz Schilling
    Franz Schilling was a Nazi physician prosecuted in the post–World War II Doctors' Trial for his involvement in unethical and criminal medical experiments.
  • C. Samuel Fischer
    Samuel Fischer was a prominent German publisher best known for founding the influential S. Fischer Verlag, which played a key role in modern German literature.
  • D. Rudi Fehr
    Rudi Fehr was a German-born American film editor known for his work on numerous Hollywood films from the 1940s through the 1970s.
  • E. Samuel Bischoff
    Samuel Bischoff was an American film producer active during Hollywood’s studio era, known for overseeing numerous features across major studios such as Warner Bros. and Columbia Pictures.
  • 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb76dc784881908e1f63ac907cdd01 completed March 31, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34b49fb88190b30a89d594ed4ada completed April 1, 2026, 3:07 p.m.
NEDg Description generation batch_69cd36ef47e88190ae96ea2459552247 completed April 1, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_69cd4e9d362481908283d58b03c7ef9b completed April 1, 2026, 4:58 p.m.
Created at: March 30, 2026, 5:44 p.m.