Triple

T5368338
Position Surface form Disambiguated ID Type / Status
Subject Peter Ustinov E108781 entity
Predicate notableWork P4 FINISHED
Object Krumnagel
Krumnagel is a lesser-known work by Peter Ustinov, reflecting his multifaceted career as a writer alongside his fame as an actor and director.
E516187 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: Krumnagel | Statement: [Peter Ustinov, notableWork, Krumnagel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krumnagel
Context triple: [Peter Ustinov, notableWork, Krumnagel]
  • A. Schnaittach
    Schnaittach is a river in Bavaria, Germany, that serves as a tributary of the Pegnitz River.
  • B. Ziegelstein
    Ziegelstein is a district in Nuremberg, Germany, known for its residential character and proximity to Nuremberg Airport.
  • C. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • D. Grimburgwal
    Grimburgwal is a historic canal and street in central Amsterdam, known for its picturesque bridges and proximity to the city’s medieval core.
  • E. Syrgenstein
    Syrgenstein is a small municipality in the Heidenheim district of the German state of Baden-Württemberg.
  • 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: Krumnagel
Triple: [Peter Ustinov, notableWork, Krumnagel]
Generated description
Krumnagel is a lesser-known work by Peter Ustinov, reflecting his multifaceted career as a writer alongside his fame as an actor and director.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Krumnagel
Target entity description: Krumnagel is a lesser-known work by Peter Ustinov, reflecting his multifaceted career as a writer alongside his fame as an actor and director.
  • A. Schnaittach
    Schnaittach is a river in Bavaria, Germany, that serves as a tributary of the Pegnitz River.
  • B. Ziegelstein
    Ziegelstein is a district in Nuremberg, Germany, known for its residential character and proximity to Nuremberg Airport.
  • C. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • D. Grimburgwal
    Grimburgwal is a historic canal and street in central Amsterdam, known for its picturesque bridges and proximity to the city’s medieval core.
  • E. Syrgenstein
    Syrgenstein is a small municipality in the Heidenheim district of the German state of Baden-Württemberg.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86856f688190a34ab93619bae134 completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf2928859881908ac238feca132d07 completed March 21, 2026, 11:26 p.m.
NEDg Description generation batch_69bf2a09891c81908509695a41d1aa02 completed March 21, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69bf2ad48fc48190bb0c7de4df879c3b completed March 21, 2026, 11:33 p.m.
Created at: March 20, 2026, 2:02 p.m.