Triple

T9653055
Position Surface form Disambiguated ID Type / Status
Subject Sofia the First E233381 entity
Predicate composer P1361 FINISHED
Object Kevin Kliesch
Kevin Kliesch is an American composer and orchestrator known for his work on animated films and television series, including Disney projects.
E814544 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: Kevin Kliesch | Statement: [Sofia the First, composer, Kevin Kliesch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Kliesch
Context triple: [Sofia the First, composer, Kevin Kliesch]
  • A. Matthias Koenigswieser
    Matthias Koenigswieser is a cinematographer known for his work on feature films such as the live-action Disney movie "Christopher Robin."
  • B. Kai Wiesinger
    Kai Wiesinger is a German actor known for his roles in film and television, often appearing in historical dramas and popular German cinema.
  • C. Kevin Riepl
    Kevin Riepl is an American composer best known for his atmospheric scores for films and video games, including work on titles like Gears of War and various horror and sci-fi projects.
  • D. Christian Specht
    Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
  • E. Peter Vinnemeier
    Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
  • 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: Kevin Kliesch
Triple: [Sofia the First, composer, Kevin Kliesch]
Generated description
Kevin Kliesch is an American composer and orchestrator known for his work on animated films and television series, including Disney projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kevin Kliesch
Target entity description: Kevin Kliesch is an American composer and orchestrator known for his work on animated films and television series, including Disney projects.
  • A. Matthias Koenigswieser
    Matthias Koenigswieser is a cinematographer known for his work on feature films such as the live-action Disney movie "Christopher Robin."
  • B. Kai Wiesinger
    Kai Wiesinger is a German actor known for his roles in film and television, often appearing in historical dramas and popular German cinema.
  • C. Kevin Riepl
    Kevin Riepl is an American composer best known for his atmospheric scores for films and video games, including work on titles like Gears of War and various horror and sci-fi projects.
  • D. Christian Specht
    Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
  • E. Peter Vinnemeier
    Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bb26b748190bc32e2003829b0ec completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190eec94c81909ede398926141f89 completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d19178f7e8819089d73dcd23aed8a1 completed April 4, 2026, 10:32 p.m.
NED2 Entity disambiguation (via description) batch_69d19219cdb081908b44f790f02a25ad completed April 4, 2026, 10:35 p.m.
Created at: March 30, 2026, 8:13 p.m.