Triple

T11764693
Position Surface form Disambiguated ID Type / Status
Subject Francesca da Rimini (stage role) E279749 entity
Predicate dramaticRegister P65429 FINISHED
Object high emotional intensity LITERAL FINISHED

How this triple was built (2 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: high emotional intensity | Statement: [Francesca da Rimini (stage role), dramaticRegister, high emotional intensity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dramaticRegister
Context triple: [Francesca da Rimini (stage role), dramaticRegister, high emotional intensity]
  • A. dramaticForm
    Indicates that one entity is expressed, structured, or realized in the form of a particular dramatic genre or theatrical mode.
  • B. dramaticCharacter
    Indicates that one entity is a character or role that appears within the dramatic work, performance, or narrative represented by the other entity.
  • C. dramaticRole
    Indicates that one entity serves as a character or part played by another entity within a dramatic or theatrical work.
  • D. dramaticFunction
    Indicates the role or purpose that something serves within the structure or progression of a dramatic work or narrative.
  • E. hasDramaticStyle chosen
    Indicates that an entity employs or is characterized by a theatrical, emotionally intense, or striking manner of expression or presentation.
  • F. None of above.

Provenance (3 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a525948081908af62cc5d4c7c482 completed April 10, 2026, 7:22 a.m.
PD Predicate disambiguation batch_69d88a829fe481909cc5431de7d6058e completed April 10, 2026, 5:28 a.m.
Created at: April 8, 2026, 9:41 p.m.