Triple

T29159042
Position Surface form Disambiguated ID Type / Status
Subject The Devil in the White City E739134 entity
Predicate adaptationDevelopmentInvolved P137204 FINISHED
Object Leonardo DiCaprio 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: Leonardo DiCaprio | Statement: [The Devil in the White City, adaptationDevelopmentInvolved, Leonardo DiCaprio]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adaptationDevelopmentInvolved
Context triple: [The Devil in the White City, adaptationDevelopmentInvolved, Leonardo DiCaprio]
  • A. hasAdaptationInDevelopment chosen
    Indicates that an entity currently has an adaptation (e.g., film, series, game, or other derivative work) that is in the process of being developed but not yet completed or released.
  • B. adaptationIn
    Indicates that something appears, is represented, or takes place within a particular adaptation of an original work.
  • C. adaptation
    Indicates a relationship where one entity changes or is modified to better suit, function within, or correspond to another entity or context.
  • D. adaptationInfluence
    Indicates that one entity’s characteristics, strategies, or behaviors influence how another entity adapts or changes in response to its environment or circumstances.
  • E. adaptationType
    Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
  • 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_69f07cb528fc8190a556b73990c347c8 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f674e06c9481909ed0ea736408f0d7 completed May 2, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69f673c4abec8190bc2379e66f4af0a9 completed May 2, 2026, 9:59 p.m.
Created at: April 28, 2026, 11:46 a.m.