Triple

T21510985
Position Surface form Disambiguated ID Type / Status
Subject Bette Davis as Leslie Crosbie E530717 entity
Predicate associatedWithGenreCycle P144672 FINISHED
Object classic Hollywood film noir 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: classic Hollywood film noir | Statement: [Bette Davis as Leslie Crosbie, associatedWithGenreCycle, classic Hollywood film noir]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithGenreCycle
Context triple: [Bette Davis as Leslie Crosbie, associatedWithGenreCycle, classic Hollywood film noir]
  • A. associatedWithGenreElement
    Indicates that something has a connection or linkage to a specific genre-related element (such as a motif, convention, or stylistic feature).
  • B. associatedWithGenreScene
    Indicates that an entity is connected or related to a particular genre scene, such as a specific stylistic or cultural subcommunity within a broader genre.
  • C. isAssociatedWithSubgenre
    Indicates that one entity has a connection or linkage to a specific subgenre of a broader category.
  • D. associatedWithGenreDevelopment
    Indicates a relationship where something has contributed to, influenced, or been involved in the development or evolution of a particular genre.
  • E. hasGenreRelation
    Indicates that there is an association between an entity and a specific genre, specifying the type or category it belongs to.
  • F. None of above. chosen

Provenance (4 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea863b18819080e3ff249b10ec28 completed April 23, 2026, 9:46 a.m.
PD Predicate disambiguation batch_69e6320043bc81909417c41a718652ba completed April 20, 2026, 2:02 p.m.
PDg Predicate description generation batch_69e6386c5a4481909c37f7de7e9fc025 completed April 20, 2026, 2:30 p.m.
Created at: April 16, 2026, 6:25 p.m.