Triple

T27847703
Position Surface form Disambiguated ID Type / Status
Subject A Bronx Tale: The Musical E703867 entity
Predicate adaptationOfAutobiographicalWorkBy P77539 FINISHED
Object Chazz Palminteri NE NERFINISHED

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: Chazz Palminteri | Statement: [A Bronx Tale: The Musical, adaptationOfAutobiographicalWorkBy, Chazz Palminteri]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adaptationOfAutobiographicalWorkBy
Context triple: [A Bronx Tale: The Musical, adaptationOfAutobiographicalWorkBy, Chazz Palminteri]
  • A. adaptedWorkOfAuthor chosen
    Indicates that a work is an adaptation derived from, based on, or reinterpreting the original work of a specified author.
  • B. adaptationOfFirstNovel
    Indicates that the subject work is an adaptation specifically of the first novel in a given series or by a particular author.
  • C. adaptedWorkOf
    Indicates that one work is derived from, based on, or reinterprets the content of another pre-existing work.
  • D. adaptationBy
    Indicates a relationship where one entity has been modified, transformed, or reworked by another entity into a new form or version.
  • E. adaptedNovel
    Indicates that a novel has been adapted into another medium, such as a film, television series, or stage production.
  • 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_69ef840d9e3c819093615ebff4ec22be completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f6562fd3488190be1acd8c526a28d2 completed May 2, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69f651a931748190a637e631a52bbfaa completed May 2, 2026, 7:34 p.m.
Created at: April 27, 2026, 6:08 p.m.