Triple

T13350828
Position Surface form Disambiguated ID Type / Status
Subject Peter Handke E318062 entity
Predicate notableWork P4 FINISHED
Object Kaspar
Kaspar is a 1967 play by Austrian writer Peter Handke that explores language, identity, and social conditioning through the story of a speechless outsider molded by external voices.
 E1039984 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: Kaspar | Statement: [Peter Handke, notableWork, Kaspar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaspar
Context triple: [Peter Handke, notableWork, Kaspar]
  • A. Kasper
    Kasper is a surname most notably associated with former American football wide receiver Kevin Kasper.
  • B. Caspar
    Caspar is one of the Three Wise Men in Christian tradition, often depicted as a king who visited the infant Jesus bearing gifts.
  • C. Karl
    Karl is the given first name of Charles Proteus Steinmetz, the renowned German-American mathematician and electrical engineer who revolutionized the understanding of alternating current systems.
  • D. Karl
    Karl is a ruthless, long-haired German terrorist and Hans Gruber’s vengeful right-hand man in the action film "Die Hard."
  • E. Karl
    Karl was the given name of Archduke Charles Joseph of Austria, a Habsburg archduke and younger brother of Empress Maria Theresa in the 18th century.
  • 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: Kaspar
Triple: [Peter Handke, notableWork, Kaspar]
Generated description
Kaspar is a 1967 play by Austrian writer Peter Handke that explores language, identity, and social conditioning through the story of a speechless outsider molded by external voices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaspar
Target entity description: Kaspar is a 1967 play by Austrian writer Peter Handke that explores language, identity, and social conditioning through the story of a speechless outsider molded by external voices.
  • A. Kasper
    Kasper is a surname most notably associated with former American football wide receiver Kevin Kasper.
  • B. Caspar
    Caspar is one of the Three Wise Men in Christian tradition, often depicted as a king who visited the infant Jesus bearing gifts.
  • C. Karl
    Karl is the given first name of Charles Proteus Steinmetz, the renowned German-American mathematician and electrical engineer who revolutionized the understanding of alternating current systems.
  • D. Karl
    Karl is a ruthless, long-haired German terrorist and Hans Gruber’s vengeful right-hand man in the action film "Die Hard."
  • E. Karl
    Karl was the given name of Archduke Charles Joseph of Austria, a Habsburg archduke and younger brother of Empress Maria Theresa in the 18th century.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8c2f1c819094f0970f35f18afa completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7397b871c819081272c48b3210e00 completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73a6bb0b0819095a43154ef31712c completed May 3, 2026, 12:07 p.m.
NED2 Entity disambiguation (via description) batch_69f73acdbbd88190909bf123926fe433 completed May 3, 2026, 12:08 p.m.
Created at: April 9, 2026, 9:31 p.m.