Triple

T1595327
Position Surface form Disambiguated ID Type / Status
Subject Duke of Buckingham E34266 entity
Predicate hasAdaptationAppearance P12694 FINISHED
Object film adaptations of The Three Musketeers 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: film adaptations of The Three Musketeers | Statement: [Duke of Buckingham, hasAdaptationAppearance, film adaptations of The Three Musketeers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdaptationAppearance
Context triple: [Duke of Buckingham, hasAdaptationAppearance, film adaptations of The Three Musketeers]
  • A. adaptationAppearance chosen
    Indicates that one entity appears or is depicted in an adaptation of another entity (such as a work being represented in a derived or reinterpreted version).
  • B. hasMediaAdaptation
    Indicates that a work has been adapted into another medium, such as film, television, or other forms of media.
  • C. adaptationType
    Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
  • D. canBeAdaptedBy
    Indicates that one entity is capable of being modified, adjusted, or tailored for use by another entity.
  • E. adaptationStatus
    Indicates the current state or progress of how something has been adapted or adjusted in response to specific conditions, requirements, or contexts.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a916d413f08190a4e137e5ed262e25 completed March 5, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69a907bfb39c8190a31e0be14d3d52e6 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:27 p.m.