Triple

T22994160
Position Surface form Disambiguated ID Type / Status
Subject John Brunner E572135 entity
Predicate wroteUnderPseudonym P3799 FINISHED
Object K. H. Brunner
K. H. Brunner is a pseudonym used by British science fiction author John Brunner for some of his published works.
E1565205 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: K. H. Brunner | Statement: [John Brunner, wroteUnderPseudonym, K. H. Brunner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K. H. Brunner
Context triple: [John Brunner, wroteUnderPseudonym, K. H. Brunner]
  • A. N. Brunner
    N. Brunner is a technical contributor in the Internet engineering community known for coauthoring RFC 4833, which defines time zone options for DHCP.
  • B. Walter Blum
    Walter Blum is a German mathematician known for his contributions to algebra and mathematical education.
  • C. C. F. Kahnt
    C. F. Kahnt was a German music publishing house known for issuing significant late-Romantic works, including major symphonies.
  • D. Eugene Brunner
    Eugene Brunner was a figure significant enough in local or mining history to have the Brunner Mine site named in his honor.
  • E. Walter Buch
    Walter Buch was a high-ranking Nazi official who served as the chief judge of the Nazi Party’s Supreme Court and played a key role in enforcing party discipline.
  • 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: K. H. Brunner
Triple: [John Brunner, wroteUnderPseudonym, K. H. Brunner]
Generated description
K. H. Brunner is a pseudonym used by British science fiction author John Brunner for some of his published works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: K. H. Brunner
Target entity description: K. H. Brunner is a pseudonym used by British science fiction author John Brunner for some of his published works.
  • A. N. Brunner
    N. Brunner is a technical contributor in the Internet engineering community known for coauthoring RFC 4833, which defines time zone options for DHCP.
  • B. Walter Blum
    Walter Blum is a German mathematician known for his contributions to algebra and mathematical education.
  • C. C. F. Kahnt
    C. F. Kahnt was a German music publishing house known for issuing significant late-Romantic works, including major symphonies.
  • D. Eugene Brunner
    Eugene Brunner was a figure significant enough in local or mining history to have the Brunner Mine site named in his honor.
  • E. Walter Buch
    Walter Buch was a high-ranking Nazi official who served as the chief judge of the Nazi Party’s Supreme Court and played a key role in enforcing party discipline.
  • 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182f1940c8190a5645ee8d8e5e063 completed April 29, 2026, 4:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bd37cd30c8190ae2fa99f18b59b94 completed May 19, 2026, 3:05 a.m.
NEDg Description generation batch_6a0bd43af7948190886a30522f3b6c8a completed May 19, 2026, 3:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0bd503b1588190979b9895327a3475 completed May 19, 2026, 3:12 a.m.
Created at: April 17, 2026, 3:50 p.m.