Triple

T4172857
Position Surface form Disambiguated ID Type / Status
Subject University of Graz E86403 entity
Predicate hasRector P325 FINISHED
Object Peter Riedler
Peter Riedler is an Austrian academic and university administrator who serves as rector of the University of Graz.
 E538926 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: Peter Riedler | Statement: [University of Graz, hasRector, Peter Riedler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Riedler
Context triple: [University of Graz, hasRector, Peter Riedler]
  • A. Joseph Sonnleithner
    Joseph Sonnleithner was an Austrian librettist, lawyer, and cultural figure best known for writing the original libretto for Beethoven’s opera "Fidelio."
  • B. John Rädecker
    John Rädecker was a Dutch sculptor best known for his expressive, symbolist-influenced monumental works in the early 20th century.
  • C. Karl Rammelt
    Karl Rammelt was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
  • D. Peter Zinner
    Peter Zinner was an Austrian-born American film editor renowned for his work on major Hollywood films, including classics like The Deer Hunter and The Godfather.
  • E. Johann Rattenhuber
    Johann Rattenhuber was a high-ranking Nazi official best known as the head of Adolf Hitler’s personal security service, the Reichssicherheitsdienst (RSD).
  • 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: Peter Riedler
Triple: [University of Graz, hasRector, Peter Riedler]
Generated description
Peter Riedler is an Austrian academic and university administrator who serves as rector of the University of Graz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Riedler
Target entity description: Peter Riedler is an Austrian academic and university administrator who serves as rector of the University of Graz.
  • A. Joseph Sonnleithner
    Joseph Sonnleithner was an Austrian librettist, lawyer, and cultural figure best known for writing the original libretto for Beethoven’s opera "Fidelio."
  • B. John Rädecker
    John Rädecker was a Dutch sculptor best known for his expressive, symbolist-influenced monumental works in the early 20th century.
  • C. Karl Rammelt
    Karl Rammelt was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
  • D. Peter Zinner
    Peter Zinner was an Austrian-born American film editor renowned for his work on major Hollywood films, including classics like The Deer Hunter and The Godfather.
  • E. Johann Rattenhuber
    Johann Rattenhuber was a high-ranking Nazi official best known as the head of Adolf Hitler’s personal security service, the Reichssicherheitsdienst (RSD).
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02e65b548190be095df62091b960 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059b1c950819091ec6706fb06d2e6 completed March 22, 2026, 9:05 p.m.
NEDg Description generation batch_69c05b3696c0819081e869a229fb881f completed March 22, 2026, 9:12 p.m.
NED2 Entity disambiguation (via description) batch_69c05bb8a4988190b1b27f42e22d0187 completed March 22, 2026, 9:14 p.m.
Created at: March 9, 2026, 3:45 p.m.