Triple

T7987517
Position Surface form Disambiguated ID Type / Status
Subject RFC 8174 E185718 entity
Predicate author P4 FINISHED
Object Benjamin N. Kaduk
Benjamin N. Kaduk is a computer networking expert and contributor to Internet standards, particularly within the IETF community.
 E702747 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: Benjamin N. Kaduk | Statement: [RFC 8174, author, Benjamin N. Kaduk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Benjamin N. Kaduk
Context triple: [RFC 8174, author, Benjamin N. Kaduk]
  • A. Andrew G. Myers
    Andrew G. Myers is an American organic chemist renowned for his contributions to complex molecule synthesis and medicinal chemistry.
  • B. Edward A. Merritt
    Edward A. Merritt was an American political figure who served as a prominent federal customs official in New York during the late 19th century.
  • C. Larry L. Peterson
    Larry L. Peterson is a prominent computer scientist known for his influential research and leadership in computer networking and distributed systems.
  • D. David J. Wetherall
    David J. Wetherall is a computer scientist and academic known for his influential work and textbooks in computer networking.
  • E. Philip W. Goetz
    Philip W. Goetz is an American editor best known for serving as the chief editor of the 15th edition of the Encyclopaedia Britannica.
  • 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: Benjamin N. Kaduk
Triple: [RFC 8174, author, Benjamin N. Kaduk]
Generated description
Benjamin N. Kaduk is a computer networking expert and contributor to Internet standards, particularly within the IETF community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Benjamin N. Kaduk
Target entity description: Benjamin N. Kaduk is a computer networking expert and contributor to Internet standards, particularly within the IETF community.
  • A. Andrew G. Myers
    Andrew G. Myers is an American organic chemist renowned for his contributions to complex molecule synthesis and medicinal chemistry.
  • B. Edward A. Merritt
    Edward A. Merritt was an American political figure who served as a prominent federal customs official in New York during the late 19th century.
  • C. Larry L. Peterson
    Larry L. Peterson is a prominent computer scientist known for his influential research and leadership in computer networking and distributed systems.
  • D. David J. Wetherall
    David J. Wetherall is a computer scientist and academic known for his influential work and textbooks in computer networking.
  • E. Philip W. Goetz
    Philip W. Goetz is an American editor best known for serving as the chief editor of the 15th edition of the Encyclopaedia Britannica.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4d11b08190aa13afb17155462c completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0ed61588190b01423061acfce49 completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43f883081908768a7314409b622 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc34c6cf6881909b28a0b6882b518d completed March 31, 2026, 8:55 p.m.
Created at: March 30, 2026, 5:15 p.m.