Triple

T9474306
Position Surface form Disambiguated ID Type / Status
Subject In Arabia We'd All Be Kings E228472 entity
Predicate hasCharacter P2308 FINISHED
Object Karel
Karel is a character in Stephen Adly Guirgis's gritty stage play "In Arabia We'd All Be Kings," which explores the lives of struggling New Yorkers in a rapidly gentrifying Hell's Kitchen.
E71855 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: Karel | Statement: [In Arabia We'd All Be Kings, hasCharacter, Karel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karel
Context triple: [In Arabia We'd All Be Kings, hasCharacter, Karel]
  • A. Karel
    Karel is a given name, commonly used in Central and Eastern Europe, that corresponds to the English name Charles.
  • B. Karel Roden
    Karel Roden is a Czech actor known internationally for his roles in films such as "Hellboy," "The Bourne Supremacy," and various European and Hollywood productions.
  • C. Havlíček
    Havlíček is a Czech surname most famously associated with basketball Hall of Famer John Havlicek and several notable Czech cultural and public figures.
  • D. Zdeněk
    Zdeněk is a Czech given name commonly used for males, equivalent to the English name Sidney or Dennis in some contexts.
  • E. Kája
    Kája is a Czech diminutive form of the given name Karel.
  • 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: Karel
Triple: [In Arabia We'd All Be Kings, hasCharacter, Karel]
Generated description
Karel is a character in Stephen Adly Guirgis's gritty stage play "In Arabia We'd All Be Kings," which explores the lives of struggling New Yorkers in a rapidly gentrifying Hell's Kitchen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karel
Target entity description: Karel is a character in Stephen Adly Guirgis's gritty stage play "In Arabia We'd All Be Kings," which explores the lives of struggling New Yorkers in a rapidly gentrifying Hell's Kitchen.
  • A. Karel chosen
    Karel is a given name, commonly used in Central and Eastern Europe, that corresponds to the English name Charles.
  • B. Karel Roden
    Karel Roden is a Czech actor known internationally for his roles in films such as "Hellboy," "The Bourne Supremacy," and various European and Hollywood productions.
  • C. Havlíček
    Havlíček is a Czech surname most famously associated with basketball Hall of Famer John Havlicek and several notable Czech cultural and public figures.
  • D. Zdeněk
    Zdeněk is a Czech given name commonly used for males, equivalent to the English name Sidney or Dennis in some contexts.
  • E. Kája
    Kája is a Czech diminutive form of the given name Karel.
  • F. None of above.

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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ff23aec8190b5341eb9bd816a43 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122d625fc8190b8222930449ad3da completed April 4, 2026, 2:40 p.m.
NEDg Description generation batch_69d12395841c8190857de8a50ab6345c completed April 4, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69d1275bcbd88190a5742a9cf802425a completed April 4, 2026, 2:59 p.m.
Created at: March 30, 2026, 7:54 p.m.