Triple

T10323189
Position Surface form Disambiguated ID Type / Status
Subject Dinner Rush E242690 entity
Predicate featuresCharacter P626 FINISHED
Object Udo Cropa
Udo Cropa is a character in the crime drama film "Dinner Rush," set in a high-end New York City restaurant.
E976797 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: Udo Cropa | Statement: [Dinner Rush, featuresCharacter, Udo Cropa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Udo Cropa
Context triple: [Dinner Rush, featuresCharacter, Udo Cropa]
  • A. Reinhard Brundig
    Reinhard Brundig is a German film producer known for his work on independent and art-house films, including Jim Jarmusch’s "Only Lovers Left Alive."
  • B. Jürgen Frank
    Jürgen Frank is a German local politician who serves as the mayor of the municipality of Blindheim in Bavaria.
  • C. Jürgen Knieper
    Jürgen Knieper is a German composer best known for his film and television scores, including work on notable German productions and international art-house films.
  • D. Uwe Thiel
    Uwe Thiel is a relatively obscure individual primarily known only as a namesake of the surname Thiel, with no widely recognized public achievements or roles.
  • E. Karl-Heinz Schreiber
    Karl-Heinz Schreiber is a German-Canadian lobbyist and businessman notorious for his central role in major international arms and political bribery scandals, including those involving Lockheed.
  • 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: Udo Cropa
Triple: [Dinner Rush, featuresCharacter, Udo Cropa]
Generated description
Udo Cropa is a character in the crime drama film "Dinner Rush," set in a high-end New York City restaurant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Udo Cropa
Target entity description: Udo Cropa is a character in the crime drama film "Dinner Rush," set in a high-end New York City restaurant.
  • A. Reinhard Brundig
    Reinhard Brundig is a German film producer known for his work on independent and art-house films, including Jim Jarmusch’s "Only Lovers Left Alive."
  • B. Jürgen Frank
    Jürgen Frank is a German local politician who serves as the mayor of the municipality of Blindheim in Bavaria.
  • C. Jürgen Knieper
    Jürgen Knieper is a German composer best known for his film and television scores, including work on notable German productions and international art-house films.
  • D. Uwe Thiel
    Uwe Thiel is a relatively obscure individual primarily known only as a namesake of the surname Thiel, with no widely recognized public achievements or roles.
  • E. Karl-Heinz Schreiber
    Karl-Heinz Schreiber is a German-Canadian lobbyist and businessman notorious for his central role in major international arms and political bribery scandals, including those involving Lockheed.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cdb6cc8190b37ca4494287128b completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f62a6efa448190a9d95c5bd68ff34b completed May 2, 2026, 4:46 p.m.
NEDg Description generation batch_69f62be354a88190aaf5e8439b33120b completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f62c8194d881909db3d320a21f2052 completed May 2, 2026, 4:55 p.m.
Created at: April 6, 2026, 11:50 a.m.