Triple

T11037207
Position Surface form Disambiguated ID Type / Status
Subject Pemberley E260916 entity
Predicate hasAdaptationRepresentation P1690 FINISHED
Object various film adaptations of Pride and Prejudice 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: various film adaptations of Pride and Prejudice | Statement: [Pemberley, hasAdaptationRepresentation, various film adaptations of Pride and Prejudice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdaptationRepresentation
Context triple: [Pemberley, hasAdaptationRepresentation, various film adaptations of Pride and Prejudice]
  • A. hasAdaptationStrategy
    Indicates that an entity employs or is associated with a specific method or approach for adapting to changing conditions or requirements.
  • B. hasMediaAdaptation chosen
    Indicates that a work has been adapted into another medium, such as film, television, or other forms of media.
  • C. hasRelativeInAdaptation
    Indicates that an entity has a relative (family-related counterpart) appearing in an adaptation of that entity or its source material.
  • D. isAdaptation
    Indicates that one work is derived from, based on, or reinterprets the content of another work.
  • E. hasAdaptationSourceCharacter
    Indicates that a character in an adaptation is derived from, based on, or corresponds to a specific character in the original source work.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797fd5fe081908af13835b18de7b8 completed April 9, 2026, 12:13 p.m.
PD Predicate disambiguation batch_69d74407cb088190ba37c8da3d342b64 completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:25 p.m.